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@ -8,7 +8,7 @@ message: 'To cite package "FreesearchR" in publications use:'
type: software type: software
license: AGPL-3.0-or-later license: AGPL-3.0-or-later
title: 'FreesearchR: Easy data analysis for clinicians' title: 'FreesearchR: Easy data analysis for clinicians'
version: 26.1.1 version: 25.12.7
doi: 10.5281/zenodo.14527429 doi: 10.5281/zenodo.14527429
identifiers: identifiers:
- type: url - type: url
@ -39,7 +39,7 @@ references:
- family-names: Wickham - family-names: Wickham
given-names: Hadley given-names: Hadley
email: hadley@rstudio.com email: hadley@rstudio.com
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.assertthat doi: 10.32614/CRAN.package.assertthat
- type: software - type: software
title: bslib title: bslib
@ -59,7 +59,7 @@ references:
given-names: Garrick given-names: Garrick
email: garrick@posit.co email: garrick@posit.co
orcid: https://orcid.org/0000-0002-7111-0077 orcid: https://orcid.org/0000-0002-7111-0077
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.bslib doi: 10.32614/CRAN.package.bslib
- type: software - type: software
title: dplyr title: dplyr
@ -84,7 +84,7 @@ references:
given-names: Davis given-names: Davis
email: davis@posit.co email: davis@posit.co
orcid: https://orcid.org/0000-0003-4777-038X orcid: https://orcid.org/0000-0003-4777-038X
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.dplyr doi: 10.32614/CRAN.package.dplyr
- type: software - type: software
title: glue title: glue
@ -100,7 +100,7 @@ references:
given-names: Jennifer given-names: Jennifer
email: jenny@posit.co email: jenny@posit.co
orcid: https://orcid.org/0000-0002-6983-2759 orcid: https://orcid.org/0000-0002-6983-2759
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.glue doi: 10.32614/CRAN.package.glue
- type: software - type: software
title: gtsummary title: gtsummary
@ -132,7 +132,7 @@ references:
- family-names: Zabor - family-names: Zabor
given-names: Emily C. given-names: Emily C.
orcid: https://orcid.org/0000-0002-1402-4498 orcid: https://orcid.org/0000-0002-1402-4498
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.gtsummary doi: 10.32614/CRAN.package.gtsummary
- type: software - type: software
title: here title: here
@ -145,7 +145,7 @@ references:
given-names: Kirill given-names: Kirill
email: kirill@cynkra.com email: kirill@cynkra.com
orcid: https://orcid.org/0000-0002-1416-3412 orcid: https://orcid.org/0000-0002-1416-3412
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.here doi: 10.32614/CRAN.package.here
- type: software - type: software
title: quarto title: quarto
@ -162,7 +162,7 @@ references:
given-names: Christophe given-names: Christophe
email: cderv@posit.co email: cderv@posit.co
orcid: https://orcid.org/0000-0003-4474-2498 orcid: https://orcid.org/0000-0003-4474-2498
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.quarto doi: 10.32614/CRAN.package.quarto
- type: software - type: software
title: haven title: haven
@ -178,7 +178,7 @@ references:
given-names: Evan given-names: Evan
- family-names: Smith - family-names: Smith
given-names: Danny given-names: Danny
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.haven doi: 10.32614/CRAN.package.haven
- type: software - type: software
title: readODS title: readODS
@ -205,7 +205,7 @@ references:
given-names: Thomas J. given-names: Thomas J.
email: thosjleeper@gmail.com email: thosjleeper@gmail.com
orcid: https://orcid.org/0000-0003-4097-6326 orcid: https://orcid.org/0000-0003-4097-6326
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.readODS doi: 10.32614/CRAN.package.readODS
- type: software - type: software
title: readr title: readr
@ -223,7 +223,7 @@ references:
given-names: Jennifer given-names: Jennifer
email: jenny@posit.co email: jenny@posit.co
orcid: https://orcid.org/0000-0002-6983-2759 orcid: https://orcid.org/0000-0002-6983-2759
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.readr doi: 10.32614/CRAN.package.readr
- type: software - type: software
title: shiny title: shiny
@ -266,7 +266,7 @@ references:
given-names: Alan given-names: Alan
- family-names: Borges - family-names: Borges
given-names: Barbara given-names: Barbara
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.shiny doi: 10.32614/CRAN.package.shiny
- type: software - type: software
title: MASS title: MASS
@ -280,7 +280,7 @@ references:
email: Brian.Ripley@R-project.org email: Brian.Ripley@R-project.org
- family-names: Venables - family-names: Venables
given-names: Bill given-names: Bill
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.MASS doi: 10.32614/CRAN.package.MASS
- type: software - type: software
title: purrr title: purrr
@ -296,7 +296,7 @@ references:
- family-names: Henry - family-names: Henry
given-names: Lionel given-names: Lionel
email: lionel@posit.co email: lionel@posit.co
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.purrr doi: 10.32614/CRAN.package.purrr
- type: software - type: software
title: broom title: broom
@ -320,7 +320,7 @@ references:
given-names: Emil given-names: Emil
email: emil.hvitfeldt@posit.co email: emil.hvitfeldt@posit.co
orcid: https://orcid.org/0000-0002-0679-1945 orcid: https://orcid.org/0000-0002-0679-1945
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.broom doi: 10.32614/CRAN.package.broom
- type: software - type: software
title: broom.helpers title: broom.helpers
@ -337,7 +337,7 @@ references:
given-names: Daniel D. given-names: Daniel D.
email: danield.sjoberg@gmail.com email: danield.sjoberg@gmail.com
orcid: https://orcid.org/0000-0003-0862-2018 orcid: https://orcid.org/0000-0003-0862-2018
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.broom.helpers doi: 10.32614/CRAN.package.broom.helpers
- type: software - type: software
title: cardx title: cardx
@ -357,7 +357,7 @@ references:
given-names: Emily given-names: Emily
name-particle: de la name-particle: de la
email: emily.de_la_rua@contractors.roche.com email: emily.de_la_rua@contractors.roche.com
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.cardx doi: 10.32614/CRAN.package.cardx
- type: software - type: software
title: parameters title: parameters
@ -389,7 +389,7 @@ references:
given-names: Brenton M. given-names: Brenton M.
email: brenton@wiernik.org email: brenton@wiernik.org
orcid: https://orcid.org/0000-0001-9560-6336 orcid: https://orcid.org/0000-0001-9560-6336
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.parameters doi: 10.32614/CRAN.package.parameters
- type: software - type: software
title: DT title: DT
@ -409,7 +409,7 @@ references:
given-names: Garrick given-names: Garrick
email: garrick@posit.co email: garrick@posit.co
orcid: https://orcid.org/0000-0002-7111-0077 orcid: https://orcid.org/0000-0002-7111-0077
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.DT doi: 10.32614/CRAN.package.DT
- type: software - type: software
title: performance title: performance
@ -446,7 +446,7 @@ references:
given-names: Rémi given-names: Rémi
email: remi.theriault@mail.mcgill.ca email: remi.theriault@mail.mcgill.ca
orcid: https://orcid.org/0000-0003-4315-6788 orcid: https://orcid.org/0000-0003-4315-6788
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.performance doi: 10.32614/CRAN.package.performance
- type: software - type: software
title: qqplotr title: qqplotr
@ -463,7 +463,7 @@ references:
email: loyad01@gmail.com email: loyad01@gmail.com
- family-names: Hofmann - family-names: Hofmann
given-names: Heike given-names: Heike
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.qqplotr doi: 10.32614/CRAN.package.qqplotr
- type: software - type: software
title: see title: see
@ -500,7 +500,7 @@ references:
given-names: Philip given-names: Philip
email: philip.waggoner@gmail.com email: philip.waggoner@gmail.com
orcid: https://orcid.org/0000-0002-7825-7573 orcid: https://orcid.org/0000-0002-7825-7573
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.see doi: 10.32614/CRAN.package.see
- type: software - type: software
title: patchwork title: patchwork
@ -513,7 +513,7 @@ references:
given-names: Thomas Lin given-names: Thomas Lin
email: thomasp85@gmail.com email: thomasp85@gmail.com
orcid: https://orcid.org/0000-0002-5147-4711 orcid: https://orcid.org/0000-0002-5147-4711
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.patchwork doi: 10.32614/CRAN.package.patchwork
- type: software - type: software
title: easystats title: easystats
@ -551,7 +551,7 @@ references:
given-names: Rémi given-names: Rémi
email: remi.theriault@mail.mcgill.ca email: remi.theriault@mail.mcgill.ca
orcid: https://orcid.org/0000-0003-4315-6788 orcid: https://orcid.org/0000-0003-4315-6788
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.easystats doi: 10.32614/CRAN.package.easystats
- type: software - type: software
title: DHARMa title: DHARMa
@ -565,7 +565,7 @@ references:
given-names: Florian given-names: Florian
email: florian.hartig@biologie.uni-regensburg.de email: florian.hartig@biologie.uni-regensburg.de
orcid: https://orcid.org/0000-0002-6255-9059 orcid: https://orcid.org/0000-0002-6255-9059
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.DHARMa doi: 10.32614/CRAN.package.DHARMa
- type: software - type: software
title: IDEAFilter title: IDEAFilter
@ -581,7 +581,7 @@ references:
- family-names: Thompson - family-names: Thompson
given-names: Jeff given-names: Jeff
email: jeff.thompson51317@gmail.com email: jeff.thompson51317@gmail.com
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.IDEAFilter doi: 10.32614/CRAN.package.IDEAFilter
- type: software - type: software
title: datamods title: datamods
@ -600,7 +600,7 @@ references:
- family-names: Abeer - family-names: Abeer
given-names: Zauad Shahreer given-names: Zauad Shahreer
email: shahreyar.abeer@gmail.com email: shahreyar.abeer@gmail.com
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.datamods doi: 10.32614/CRAN.package.datamods
- type: software - type: software
title: toastui title: toastui
@ -614,7 +614,7 @@ references:
email: victor.perrier@dreamrs.fr email: victor.perrier@dreamrs.fr
- family-names: Meyer - family-names: Meyer
given-names: Fanny given-names: Fanny
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.toastui doi: 10.32614/CRAN.package.toastui
- type: software - type: software
title: lubridate title: lubridate
@ -630,7 +630,7 @@ references:
given-names: Garrett given-names: Garrett
- family-names: Wickham - family-names: Wickham
given-names: Hadley given-names: Hadley
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.lubridate doi: 10.32614/CRAN.package.lubridate
- type: software - type: software
title: bsicons title: bsicons
@ -643,7 +643,7 @@ references:
given-names: Carson given-names: Carson
email: carson@posit.co email: carson@posit.co
orcid: https://orcid.org/0000-0002-4958-2844 orcid: https://orcid.org/0000-0002-4958-2844
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.bsicons doi: 10.32614/CRAN.package.bsicons
- type: software - type: software
title: thematic title: thematic
@ -664,7 +664,7 @@ references:
- family-names: Cheng - family-names: Cheng
given-names: Joe given-names: Joe
email: joe@posit.co email: joe@posit.co
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.thematic doi: 10.32614/CRAN.package.thematic
- type: software - type: software
title: reshape2 title: reshape2
@ -676,7 +676,7 @@ references:
- family-names: Wickham - family-names: Wickham
given-names: Hadley given-names: Hadley
email: hadley@posit.co email: hadley@posit.co
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.reshape2 doi: 10.32614/CRAN.package.reshape2
- type: software - type: software
title: shinyWidgets title: shinyWidgets
@ -692,7 +692,7 @@ references:
given-names: Fanny given-names: Fanny
- family-names: Granjon - family-names: Granjon
given-names: David given-names: David
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.shinyWidgets doi: 10.32614/CRAN.package.shinyWidgets
- type: software - type: software
title: classInt title: classInt
@ -705,7 +705,7 @@ references:
given-names: Roger given-names: Roger
email: Roger.Bivand@nhh.no email: Roger.Bivand@nhh.no
orcid: https://orcid.org/0000-0003-2392-6140 orcid: https://orcid.org/0000-0003-2392-6140
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.classInt doi: 10.32614/CRAN.package.classInt
- type: software - type: software
title: htmltools title: htmltools
@ -734,7 +734,7 @@ references:
email: yihui@posit.co email: yihui@posit.co
- family-names: Allen - family-names: Allen
given-names: Jeff given-names: Jeff
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.htmltools doi: 10.32614/CRAN.package.htmltools
- type: software - type: software
title: rlang title: rlang
@ -749,7 +749,7 @@ references:
- family-names: Wickham - family-names: Wickham
given-names: Hadley given-names: Hadley
email: hadley@posit.co email: hadley@posit.co
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.rlang doi: 10.32614/CRAN.package.rlang
- type: software - type: software
title: apexcharter title: apexcharter
@ -764,7 +764,7 @@ references:
email: victor.perrier@dreamrs.fr email: victor.perrier@dreamrs.fr
- family-names: Meyer - family-names: Meyer
given-names: Fanny given-names: Fanny
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.apexcharter doi: 10.32614/CRAN.package.apexcharter
- type: software - type: software
title: esquisse title: esquisse
@ -778,7 +778,7 @@ references:
- family-names: Perrier - family-names: Perrier
given-names: Victor given-names: Victor
email: victor.perrier@dreamrs.fr email: victor.perrier@dreamrs.fr
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.esquisse doi: 10.32614/CRAN.package.esquisse
- type: software - type: software
title: flextable title: flextable
@ -793,7 +793,7 @@ references:
- family-names: Skintzos - family-names: Skintzos
given-names: Panagiotis given-names: Panagiotis
email: panagiotis.skintzos@ardata.fr email: panagiotis.skintzos@ardata.fr
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.flextable doi: 10.32614/CRAN.package.flextable
- type: software - type: software
title: gt title: gt
@ -831,7 +831,7 @@ references:
orcid: https://orcid.org/0000-0002-4001-8358 orcid: https://orcid.org/0000-0002-4001-8358
- family-names: Roy - family-names: Roy
given-names: Olivier given-names: Olivier
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.gt doi: 10.32614/CRAN.package.gt
- type: software - type: software
title: rankinPlot title: rankinPlot
@ -844,7 +844,7 @@ references:
given-names: Hannah given-names: Hannah
email: htjohns@gmail.com email: htjohns@gmail.com
orcid: https://orcid.org/0000-0003-2135-0504 orcid: https://orcid.org/0000-0003-2135-0504
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.rankinPlot doi: 10.32614/CRAN.package.rankinPlot
- type: software - type: software
title: Hmisc title: Hmisc
@ -857,7 +857,7 @@ references:
given-names: Frank E given-names: Frank E
email: fh@fharrell.com email: fh@fharrell.com
orcid: https://orcid.org/0000-0002-8271-5493 orcid: https://orcid.org/0000-0002-8271-5493
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.Hmisc doi: 10.32614/CRAN.package.Hmisc
- type: software - type: software
title: ggstats title: ggstats
@ -870,7 +870,7 @@ references:
given-names: Joseph given-names: Joseph
email: joseph@larmarange.net email: joseph@larmarange.net
orcid: https://orcid.org/0000-0001-7097-700X orcid: https://orcid.org/0000-0001-7097-700X
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.ggstats doi: 10.32614/CRAN.package.ggstats
- type: software - type: software
title: rempsyc title: rempsyc
@ -883,7 +883,7 @@ references:
given-names: Rémi given-names: Rémi
email: remi.theriault@mail.mcgill.ca email: remi.theriault@mail.mcgill.ca
orcid: https://orcid.org/0000-0003-4315-6788 orcid: https://orcid.org/0000-0003-4315-6788
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.rempsyc doi: 10.32614/CRAN.package.rempsyc
- type: software - type: software
title: ggridges title: ggridges
@ -896,7 +896,7 @@ references:
given-names: Claus O. given-names: Claus O.
email: wilke@austin.utexas.edu email: wilke@austin.utexas.edu
orcid: https://orcid.org/0000-0002-7470-9261 orcid: https://orcid.org/0000-0002-7470-9261
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.ggridges doi: 10.32614/CRAN.package.ggridges
- type: software - type: software
title: ggalluvial title: ggalluvial
@ -910,7 +910,7 @@ references:
email: cornelioid@gmail.com email: cornelioid@gmail.com
- family-names: Read - family-names: Read
given-names: Quentin D. given-names: Quentin D.
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.ggalluvial doi: 10.32614/CRAN.package.ggalluvial
- type: software - type: software
title: REDCapCAST title: REDCapCAST
@ -927,7 +927,7 @@ references:
given-names: Paul given-names: Paul
email: paulegeler@gmail.com email: paulegeler@gmail.com
orcid: https://orcid.org/0000-0001-6948-9498 orcid: https://orcid.org/0000-0001-6948-9498
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.REDCapCAST doi: 10.32614/CRAN.package.REDCapCAST
- type: software - type: software
title: eulerr title: eulerr
@ -940,7 +940,7 @@ references:
given-names: Johan given-names: Johan
email: johanlarsson@outlook.com email: johanlarsson@outlook.com
orcid: https://orcid.org/0000-0002-4029-5945 orcid: https://orcid.org/0000-0002-4029-5945
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.eulerr doi: 10.32614/CRAN.package.eulerr
- type: software - type: software
title: ggforce title: ggforce
@ -953,7 +953,7 @@ references:
given-names: Thomas Lin given-names: Thomas Lin
email: thomasp85@gmail.com email: thomasp85@gmail.com
orcid: https://orcid.org/0000-0002-5147-4711 orcid: https://orcid.org/0000-0002-5147-4711
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.ggforce doi: 10.32614/CRAN.package.ggforce
- type: software - type: software
title: RcppArmadillo title: RcppArmadillo
@ -978,7 +978,7 @@ references:
- family-names: Sanderson - family-names: Sanderson
given-names: Conrad given-names: Conrad
orcid: https://orcid.org/0000-0002-0049-4501 orcid: https://orcid.org/0000-0002-0049-4501
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.RcppArmadillo doi: 10.32614/CRAN.package.RcppArmadillo
- type: software - type: software
title: ggcorrplot title: ggcorrplot
@ -990,7 +990,7 @@ references:
- family-names: Kassambara - family-names: Kassambara
given-names: Alboukadel given-names: Alboukadel
email: alboukadel.kassambara@gmail.com email: alboukadel.kassambara@gmail.com
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.ggcorrplot doi: 10.32614/CRAN.package.ggcorrplot
- type: software - type: software
title: shinyjs title: shinyjs
@ -1003,7 +1003,7 @@ references:
given-names: Dean given-names: Dean
email: daattali@gmail.com email: daattali@gmail.com
orcid: https://orcid.org/0000-0002-5645-3493 orcid: https://orcid.org/0000-0002-5645-3493
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.shinyjs doi: 10.32614/CRAN.package.shinyjs
- type: software - type: software
title: emmeans title: emmeans
@ -1018,7 +1018,7 @@ references:
- family-names: Piaskowski - family-names: Piaskowski
given-names: Julia given-names: Julia
email: julia.piask@gmail.com email: julia.piask@gmail.com
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.emmeans doi: 10.32614/CRAN.package.emmeans
- type: software - type: software
title: readxl title: readxl
@ -1035,7 +1035,7 @@ references:
given-names: Jennifer given-names: Jennifer
email: jenny@posit.co email: jenny@posit.co
orcid: https://orcid.org/0000-0002-6983-2759 orcid: https://orcid.org/0000-0002-6983-2759
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.readxl doi: 10.32614/CRAN.package.readxl
- type: software - type: software
title: NHANES title: NHANES
@ -1046,7 +1046,7 @@ references:
- family-names: Pruim - family-names: Pruim
given-names: Randall given-names: Randall
email: rpruim@calvin.edu email: rpruim@calvin.edu
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.NHANES doi: 10.32614/CRAN.package.NHANES
- type: software - type: software
title: shiny.i18n title: shiny.i18n
@ -1067,7 +1067,7 @@ references:
- family-names: Sobolewski - family-names: Sobolewski
given-names: Jakub given-names: Jakub
email: jakub.sobolewski@appsilon.com email: jakub.sobolewski@appsilon.com
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.shiny.i18n doi: 10.32614/CRAN.package.shiny.i18n
- type: software - type: software
title: stRoke title: stRoke
@ -1080,7 +1080,7 @@ references:
given-names: Andreas Gammelgaard given-names: Andreas Gammelgaard
email: agdamsbo@clin.au.dk email: agdamsbo@clin.au.dk
orcid: https://orcid.org/0000-0002-7559-1154 orcid: https://orcid.org/0000-0002-7559-1154
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.stRoke doi: 10.32614/CRAN.package.stRoke
- type: software - type: software
title: data.table title: data.table
@ -1114,7 +1114,7 @@ references:
given-names: Ivan given-names: Ivan
email: ikrylov@disroot.org email: ikrylov@disroot.org
orcid: https://orcid.org/0000-0002-0172-3812 orcid: https://orcid.org/0000-0002-0172-3812
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.data.table doi: 10.32614/CRAN.package.data.table
- type: software - type: software
title: viridis title: viridis
@ -1126,7 +1126,7 @@ references:
- family-names: Garnier - family-names: Garnier
given-names: Simon given-names: Simon
email: garnier@njit.edu email: garnier@njit.edu
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.viridis doi: 10.32614/CRAN.package.viridis
- type: software - type: software
title: smd title: smd
@ -1138,7 +1138,7 @@ references:
- family-names: Saul - family-names: Saul
given-names: Bradley given-names: Bradley
email: bradleysaul@fastmail.com email: bradleysaul@fastmail.com
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.smd doi: 10.32614/CRAN.package.smd
- type: software - type: software
title: styler title: styler
@ -1158,7 +1158,7 @@ references:
given-names: Indrajeet given-names: Indrajeet
email: patilindrajeet.science@gmail.com email: patilindrajeet.science@gmail.com
orcid: https://orcid.org/0000-0003-1995-6531 orcid: https://orcid.org/0000-0003-1995-6531
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.styler doi: 10.32614/CRAN.package.styler
- type: software - type: software
title: devtools title: devtools
@ -1177,7 +1177,7 @@ references:
given-names: Jennifer given-names: Jennifer
email: jenny@posit.co email: jenny@posit.co
orcid: https://orcid.org/0000-0002-6983-2759 orcid: https://orcid.org/0000-0002-6983-2759
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.devtools doi: 10.32614/CRAN.package.devtools
- type: software - type: software
title: rhub title: rhub
@ -1193,7 +1193,7 @@ references:
given-names: Maëlle given-names: Maëlle
email: maelle.salmon@yahoo.se email: maelle.salmon@yahoo.se
orcid: https://orcid.org/0000-0002-2815-0399 orcid: https://orcid.org/0000-0002-2815-0399
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.rhub doi: 10.32614/CRAN.package.rhub
- type: software - type: software
title: webshot title: webshot
@ -1205,7 +1205,7 @@ references:
- family-names: Chang - family-names: Chang
given-names: Winston given-names: Winston
email: winston@rstudio.com email: winston@rstudio.com
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.webshot doi: 10.32614/CRAN.package.webshot
- type: software - type: software
title: usethis title: usethis
@ -1230,7 +1230,7 @@ references:
given-names: Andy given-names: Andy
email: andy.teucher@posit.co email: andy.teucher@posit.co
orcid: https://orcid.org/0000-0002-7840-692X orcid: https://orcid.org/0000-0002-7840-692X
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.usethis doi: 10.32614/CRAN.package.usethis
- type: software - type: software
title: roxygen2 title: roxygen2
@ -1251,7 +1251,7 @@ references:
email: csardi.gabor@gmail.com email: csardi.gabor@gmail.com
- family-names: Eugster - family-names: Eugster
given-names: Manuel given-names: Manuel
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.roxygen2 doi: 10.32614/CRAN.package.roxygen2
- type: software - type: software
title: pak title: pak
@ -1265,7 +1265,7 @@ references:
email: csardi.gabor@gmail.com email: csardi.gabor@gmail.com
- family-names: Hester - family-names: Hester
given-names: Jim given-names: Jim
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.pak doi: 10.32614/CRAN.package.pak
- type: software - type: software
title: rsconnect title: rsconnect
@ -1286,7 +1286,7 @@ references:
given-names: Jonathan given-names: Jonathan
- family-names: Allaire - family-names: Allaire
given-names: JJ given-names: JJ
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.rsconnect doi: 10.32614/CRAN.package.rsconnect
- type: software - type: software
title: knitr title: knitr
@ -1299,7 +1299,7 @@ references:
given-names: Yihui given-names: Yihui
email: xie@yihui.name email: xie@yihui.name
orcid: https://orcid.org/0000-0003-0645-5666 orcid: https://orcid.org/0000-0003-0645-5666
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.knitr doi: 10.32614/CRAN.package.knitr
- type: software - type: software
title: rmarkdown title: rmarkdown
@ -1343,7 +1343,7 @@ references:
given-names: Richard given-names: Richard
email: rich@posit.co email: rich@posit.co
orcid: https://orcid.org/0000-0003-3925-190X orcid: https://orcid.org/0000-0003-3925-190X
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.rmarkdown doi: 10.32614/CRAN.package.rmarkdown
- type: software - type: software
title: testthat title: testthat
@ -1355,7 +1355,7 @@ references:
- family-names: Wickham - family-names: Wickham
given-names: Hadley given-names: Hadley
email: hadley@posit.co email: hadley@posit.co
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.testthat doi: 10.32614/CRAN.package.testthat
version: '>= 3.0.0' version: '>= 3.0.0'
- type: software - type: software
@ -1374,7 +1374,7 @@ references:
- family-names: Wickham - family-names: Wickham
given-names: Hadley given-names: Hadley
email: hadley@posit.co email: hadley@posit.co
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.shinytest doi: 10.32614/CRAN.package.shinytest
- type: software - type: software
title: covr title: covr
@ -1386,7 +1386,7 @@ references:
- family-names: Hester - family-names: Hester
given-names: Jim given-names: Jim
email: james.f.hester@gmail.com email: james.f.hester@gmail.com
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.covr doi: 10.32614/CRAN.package.covr
- type: software - type: software
title: cffr title: cffr
@ -1399,7 +1399,7 @@ references:
given-names: Diego given-names: Diego
email: diego.hernangomezherrero@gmail.com email: diego.hernangomezherrero@gmail.com
orcid: https://orcid.org/0000-0001-8457-4658 orcid: https://orcid.org/0000-0001-8457-4658
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.cffr doi: 10.32614/CRAN.package.cffr
- type: software - type: software
title: shiny2docker title: shiny2docker
@ -1412,7 +1412,7 @@ references:
given-names: Vincent given-names: Vincent
email: vincent@thinkr.fr email: vincent@thinkr.fr
orcid: https://orcid.org/0000-0003-0671-9270 orcid: https://orcid.org/0000-0003-0671-9270
year: '2026' year: '2025'
doi: 10.32614/CRAN.package.shiny2docker doi: 10.32614/CRAN.package.shiny2docker
- type: software - type: software
title: 'R: A Language and Environment for Statistical Computing' title: 'R: A Language and Environment for Statistical Computing'
@ -1423,6 +1423,6 @@ references:
institution: institution:
name: R Foundation for Statistical Computing name: R Foundation for Statistical Computing
address: Vienna, Austria address: Vienna, Austria
year: '2026' year: '2025'
version: '>= 3.5' version: '>= 3.5'

View file

@ -1,6 +1,6 @@
Package: FreesearchR Package: FreesearchR
Title: Easy data analysis for clinicians Title: Easy data analysis for clinicians
Version: 26.1.2 Version: 25.12.7
Authors@R: c( Authors@R: c(
person("Andreas Gammelgaard", "Damsbo",email="agdamsbo@clin.au.dk", role = c("aut", "cre"), person("Andreas Gammelgaard", "Damsbo",email="agdamsbo@clin.au.dk", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-7559-1154")), comment = c(ORCID = "0000-0002-7559-1154")),

10
NEWS.md
View file

@ -1,13 +1,3 @@
# FreesearchR 26.1.2
Rebuild 26.1.1
# FreesearchR 26.1.1
*FIX* Two bugs in the "modify factor levels" module was fixed, which would print wrong button labels and save wrong data if not selecting to save as new factor.
*TRANLATIONS* DA and SW translations are updated. This was mostly done using machine translations and will be reviewed in the coming months.
# FreesearchR 25.12.7 # FreesearchR 25.12.7
*NEW* The landing page was overhauled for a nicer intro and better overview with focus on the basic functions. *NEW* The landing page was overhauled for a nicer intro and better overview with focus on the basic functions.

View file

@ -1 +1 @@
app_version <- function()'26.1.2' app_version <- function()'25.12.7'

View file

@ -1 +1 @@
hosted_version <- function()'v26.1.2-260112' hosted_version <- function()'v25.12.7-251218'

View file

@ -20,7 +20,6 @@ landing_page_ui <- function(i18n) {
p( p(
class = "lead", class = "lead",
i18n$t("Start with FreesearchR for basic data evaluation and analysis."), i18n$t("Start with FreesearchR for basic data evaluation and analysis."),
i18n$t("The app contains a selelct number of features and will guide you through key analyses."),
i18n$t("When you need more advanced tools, you'll be prepared to use R directly."), i18n$t("When you need more advanced tools, you'll be prepared to use R directly."),
style = "font-size: 1.2rem; color: #555;" style = "font-size: 1.2rem; color: #555;"
) )

Binary file not shown.

View file

@ -1,10 +1,8 @@
language_choices <- function() { language_choices <- function() {
c( c(
"🇩🇰 Dansk" = "da",
# "🇩🇪 Deutsch" = "de",
"🇬🇧 English" = "en", "🇬🇧 English" = "en",
"🇹🇿 Kiswahili" = "sw"#, "🇹🇿 Kiswahili" = "sw",
# "🇸🇪 Svenska" = "sv" "🇩🇰 Dansk" = "da"
) )
} }

View file

@ -272,11 +272,11 @@ ui_elements <- function(selection) {
width = 3, width = 3,
shiny::actionButton( shiny::actionButton(
inputId = "modal_update", inputId = "modal_update",
label = i18n$t("Modify factor levels"), label = i18n$t("Reorder factor levels"),
width = "100%" width = "100%"
), ),
shiny::tags$br(), shiny::tags$br(),
shiny::helpText(i18n$t("Reorder or rename the levels of factor/categorical variables.")), shiny::helpText(i18n$t("Reorder the levels of factor/categorical variables.")),
shiny::tags$br(), shiny::tags$br(),
shiny::tags$br() shiny::tags$br()
), ),

View file

@ -126,16 +126,16 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
decreasing <- FALSE decreasing <- FALSE
label <- tagList( label <- tagList(
phosphoricons::ph("sort-descending"), phosphoricons::ph("sort-descending"),
i18n$t("Sort by Levels") "Sort Levels"
) )
} else { } else {
decreasing <- TRUE decreasing <- TRUE
label <- tagList( label <- tagList(
phosphoricons::ph("sort-ascending"), phosphoricons::ph("sort-ascending"),
i18n$t("Sort by Levels") "Sort Levels"
) )
} }
updateActionButton(inputId = "sort_levels", label = label) updateActionButton(inputId = "sort_levels", label = as.character(label))
rv$data_grid <- rv$data_grid[order(rv$data_grid[[1]], decreasing = decreasing), ] rv$data_grid <- rv$data_grid[order(rv$data_grid[[1]], decreasing = decreasing), ]
}) })
@ -144,16 +144,16 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
decreasing <- FALSE decreasing <- FALSE
label <- tagList( label <- tagList(
phosphoricons::ph("sort-descending"), phosphoricons::ph("sort-descending"),
i18n$t("Sort by count") i18n$t("Sort count")
) )
} else { } else {
decreasing <- TRUE decreasing <- TRUE
label <- tagList( label <- tagList(
phosphoricons::ph("sort-ascending"), phosphoricons::ph("sort-ascending"),
i18n$t("Sort by count") i18n$t("Sort count")
) )
} }
updateActionButton(inputId = "sort_occurrences", label = label) updateActionButton(inputId = "sort_occurrences", label = as.character(label))
rv$data_grid <- rv$data_grid[order(rv$data_grid[[2]], decreasing = decreasing), ] rv$data_grid <- rv$data_grid[order(rv$data_grid[[2]], decreasing = decreasing), ]
}) })
@ -289,6 +289,7 @@ factor_new_levels_labels <- function(
labels = ifelse(new_labels == "New label", new_levels, new_labels) labels = ifelse(new_labels == "New label", new_levels, new_labels)
) )
# browser()
if (isTRUE(new_variable)) { if (isTRUE(new_variable)) {
append_column( append_column(
@ -297,7 +298,7 @@ factor_new_levels_labels <- function(
name = unique_names(new = paste0(variable, "_updated"), existing = names(data)) name = unique_names(new = paste0(variable, "_updated"), existing = names(data))
) )
} else { } else {
data[[variable]] <- with_label data[[variable]] <- new_variable
data data
} }
} }

View file

@ -11,11 +11,11 @@
|collate |en_US.UTF-8 | |collate |en_US.UTF-8 |
|ctype |en_US.UTF-8 | |ctype |en_US.UTF-8 |
|tz |Europe/Copenhagen | |tz |Europe/Copenhagen |
|date |2026-01-06 | |date |2025-12-18 |
|rstudio |2025.09.2+418 Cucumberleaf Sunflower (desktop) | |rstudio |2025.09.2+418 Cucumberleaf Sunflower (desktop) |
|pandoc |3.6.4 @ /opt/homebrew/bin/ (via rmarkdown) | |pandoc |3.6.4 @ /opt/homebrew/bin/ (via rmarkdown) |
|quarto |1.7.30 @ /usr/local/bin/quarto | |quarto |1.7.30 @ /usr/local/bin/quarto |
|FreesearchR |26.1.1.260106 | |FreesearchR |25.12.7.251218 |
-------------------------------------------------------------------------------- --------------------------------------------------------------------------------
@ -44,6 +44,7 @@
|cardx |0.3.1 |2025-12-04 |CRAN (R 4.4.3) | |cardx |0.3.1 |2025-12-04 |CRAN (R 4.4.3) |
|caTools |1.18.3 |2024-09-04 |CRAN (R 4.4.1) | |caTools |1.18.3 |2024-09-04 |CRAN (R 4.4.1) |
|cellranger |1.1.0 |2016-07-27 |CRAN (R 4.4.0) | |cellranger |1.1.0 |2016-07-27 |CRAN (R 4.4.0) |
|cffr |1.2.0 |2025-01-25 |CRAN (R 4.4.1) |
|checkmate |2.3.3 |2025-08-18 |CRAN (R 4.4.1) | |checkmate |2.3.3 |2025-08-18 |CRAN (R 4.4.1) |
|class |7.3-23 |2025-01-01 |CRAN (R 4.4.1) | |class |7.3-23 |2025-01-01 |CRAN (R 4.4.1) |
|classInt |0.4-11 |2025-01-08 |CRAN (R 4.4.1) | |classInt |0.4-11 |2025-01-08 |CRAN (R 4.4.1) |
@ -53,6 +54,8 @@
|colorspace |2.1-2 |2025-09-22 |CRAN (R 4.4.1) | |colorspace |2.1-2 |2025-09-22 |CRAN (R 4.4.1) |
|commonmark |2.0.0 |2025-07-07 |CRAN (R 4.4.1) | |commonmark |2.0.0 |2025-07-07 |CRAN (R 4.4.1) |
|crayon |1.5.3 |2024-06-20 |CRAN (R 4.4.1) | |crayon |1.5.3 |2024-06-20 |CRAN (R 4.4.1) |
|crul |1.6.0 |NA |NA |
|curl |7.0.0 |2025-08-19 |CRAN (R 4.4.1) |
|data.table |1.17.8 |2025-07-10 |CRAN (R 4.4.1) | |data.table |1.17.8 |2025-07-10 |CRAN (R 4.4.1) |
|datamods |1.5.3 |2024-10-02 |CRAN (R 4.4.1) | |datamods |1.5.3 |2024-10-02 |CRAN (R 4.4.1) |
|datawizard |1.3.0 |2025-10-11 |CRAN (R 4.4.1) | |datawizard |1.3.0 |2025-10-11 |CRAN (R 4.4.1) |
@ -83,10 +86,11 @@
|foreach |1.5.2 |2022-02-02 |CRAN (R 4.4.0) | |foreach |1.5.2 |2022-02-02 |CRAN (R 4.4.0) |
|foreign |0.8-90 |2025-03-31 |CRAN (R 4.4.1) | |foreign |0.8-90 |2025-03-31 |CRAN (R 4.4.1) |
|Formula |1.2-5 |2023-02-24 |CRAN (R 4.4.1) | |Formula |1.2-5 |2023-02-24 |CRAN (R 4.4.1) |
|FreesearchR |26.1.1 |NA |NA | |FreesearchR |25.12.7 |NA |NA |
|fs |1.6.6 |2025-04-12 |CRAN (R 4.4.1) | |fs |1.6.6 |2025-04-12 |CRAN (R 4.4.1) |
|gdtools |0.4.4 |2025-10-06 |CRAN (R 4.4.1) | |gdtools |0.4.4 |2025-10-06 |CRAN (R 4.4.1) |
|generics |0.1.4 |2025-05-09 |CRAN (R 4.4.1) | |generics |0.1.4 |2025-05-09 |CRAN (R 4.4.1) |
|gfonts |0.2.0 |NA |NA |
|ggalluvial |0.12.5 |2023-02-22 |CRAN (R 4.4.0) | |ggalluvial |0.12.5 |2023-02-22 |CRAN (R 4.4.0) |
|ggcorrplot |0.1.4.1 |2023-09-05 |CRAN (R 4.4.0) | |ggcorrplot |0.1.4.1 |2023-09-05 |CRAN (R 4.4.0) |
|ggforce |0.5.0 |2025-06-18 |CRAN (R 4.4.1) | |ggforce |0.5.0 |2025-06-18 |CRAN (R 4.4.1) |
@ -105,12 +109,14 @@
|htmlTable |2.4.3 |2024-07-21 |CRAN (R 4.4.0) | |htmlTable |2.4.3 |2024-07-21 |CRAN (R 4.4.0) |
|htmltools |0.5.9 |2025-12-04 |CRAN (R 4.4.3) | |htmltools |0.5.9 |2025-12-04 |CRAN (R 4.4.3) |
|htmlwidgets |1.6.4 |2023-12-06 |CRAN (R 4.4.0) | |htmlwidgets |1.6.4 |2023-12-06 |CRAN (R 4.4.0) |
|httpcode |0.3.0 |NA |NA |
|httpuv |1.6.16 |2025-04-16 |CRAN (R 4.4.1) | |httpuv |1.6.16 |2025-04-16 |CRAN (R 4.4.1) |
|IDEAFilter |0.2.1 |2025-07-29 |CRAN (R 4.4.1) | |IDEAFilter |0.2.1 |2025-07-29 |CRAN (R 4.4.1) |
|insight |1.4.4 |2025-12-06 |CRAN (R 4.4.3) | |insight |1.4.4 |2025-12-06 |CRAN (R 4.4.3) |
|iterators |1.0.14 |2022-02-05 |CRAN (R 4.4.1) | |iterators |1.0.14 |2022-02-05 |CRAN (R 4.4.1) |
|jquerylib |0.1.4 |2021-04-26 |CRAN (R 4.4.0) | |jquerylib |0.1.4 |2021-04-26 |CRAN (R 4.4.0) |
|jsonlite |2.0.0 |2025-03-27 |CRAN (R 4.4.1) | |jsonlite |2.0.0 |2025-03-27 |CRAN (R 4.4.1) |
|jsonvalidate |1.5.0 |2025-02-07 |CRAN (R 4.4.1) |
|KernSmooth |2.23-26 |2025-01-01 |CRAN (R 4.4.1) | |KernSmooth |2.23-26 |2025-01-01 |CRAN (R 4.4.1) |
|keyring |1.4.1 |2025-06-15 |CRAN (R 4.4.1) | |keyring |1.4.1 |2025-06-15 |CRAN (R 4.4.1) |
|knitr |1.50 |2025-03-16 |CRAN (R 4.4.1) | |knitr |1.50 |2025-03-16 |CRAN (R 4.4.1) |
@ -135,6 +141,7 @@
|openssl |2.3.4 |2025-09-30 |CRAN (R 4.4.1) | |openssl |2.3.4 |2025-09-30 |CRAN (R 4.4.1) |
|openxlsx2 |1.22 |2025-12-07 |CRAN (R 4.4.3) | |openxlsx2 |1.22 |2025-12-07 |CRAN (R 4.4.3) |
|otel |0.2.0 |2025-08-29 |CRAN (R 4.4.1) | |otel |0.2.0 |2025-08-29 |CRAN (R 4.4.1) |
|pak |0.9.1 |2025-12-01 |CRAN (R 4.4.3) |
|parameters |0.28.3 |2025-11-25 |CRAN (R 4.4.3) | |parameters |0.28.3 |2025-11-25 |CRAN (R 4.4.3) |
|patchwork |1.3.2 |2025-08-25 |CRAN (R 4.4.1) | |patchwork |1.3.2 |2025-08-25 |CRAN (R 4.4.1) |
|pbmcapply |1.5.1 |2022-04-28 |CRAN (R 4.4.1) | |pbmcapply |1.5.1 |2022-04-28 |CRAN (R 4.4.1) |
@ -155,9 +162,14 @@
|qqconf |1.3.2 |2023-04-14 |CRAN (R 4.4.0) | |qqconf |1.3.2 |2023-04-14 |CRAN (R 4.4.0) |
|qqplotr |0.0.7 |2025-09-05 |CRAN (R 4.4.1) | |qqplotr |0.0.7 |2025-09-05 |CRAN (R 4.4.1) |
|quarto |1.5.1 |2025-09-04 |CRAN (R 4.4.1) | |quarto |1.5.1 |2025-09-04 |CRAN (R 4.4.1) |
|R.cache |0.17.0 |2025-05-02 |CRAN (R 4.4.1) |
|R.methodsS3 |1.8.2 |2022-06-13 |CRAN (R 4.4.1) |
|R.oo |1.27.1 |2025-05-02 |CRAN (R 4.4.1) |
|R.utils |2.13.0 |2025-02-24 |CRAN (R 4.4.1) |
|R6 |2.6.1 |2025-02-15 |CRAN (R 4.4.1) | |R6 |2.6.1 |2025-02-15 |CRAN (R 4.4.1) |
|ragg |1.5.0 |2025-09-02 |CRAN (R 4.4.1) | |ragg |1.5.0 |2025-09-02 |CRAN (R 4.4.1) |
|rankinPlot |1.1.0 |2023-01-30 |CRAN (R 4.4.0) | |rankinPlot |1.1.0 |2023-01-30 |CRAN (R 4.4.0) |
|rappdirs |0.3.3 |2021-01-31 |CRAN (R 4.4.1) |
|rbibutils |2.4 |2025-11-07 |CRAN (R 4.4.1) | |rbibutils |2.4 |2025-11-07 |CRAN (R 4.4.1) |
|RColorBrewer |1.1-3 |2022-04-03 |CRAN (R 4.4.1) | |RColorBrewer |1.1-3 |2022-04-03 |CRAN (R 4.4.1) |
|Rcpp |1.1.0 |2025-07-02 |CRAN (R 4.4.1) | |Rcpp |1.1.0 |2025-07-02 |CRAN (R 4.4.1) |
@ -195,9 +207,11 @@
|shinyTime |1.0.3 |2022-08-19 |CRAN (R 4.4.0) | |shinyTime |1.0.3 |2022-08-19 |CRAN (R 4.4.0) |
|shinyWidgets |0.9.0 |2025-02-21 |CRAN (R 4.4.1) | |shinyWidgets |0.9.0 |2025-02-21 |CRAN (R 4.4.1) |
|smd |0.8.0 |2025-02-12 |CRAN (R 4.4.1) | |smd |0.8.0 |2025-02-12 |CRAN (R 4.4.1) |
|sourcetools |0.1.7-1 |2023-02-01 |CRAN (R 4.4.1) |
|stringi |1.8.7 |2025-03-27 |CRAN (R 4.4.1) | |stringi |1.8.7 |2025-03-27 |CRAN (R 4.4.1) |
|stringr |1.6.0 |2025-11-04 |CRAN (R 4.4.1) | |stringr |1.6.0 |2025-11-04 |CRAN (R 4.4.1) |
|stRoke |25.9.2 |2025-09-30 |CRAN (R 4.4.1) | |stRoke |25.9.2 |2025-09-30 |CRAN (R 4.4.1) |
|styler |1.11.0 |2025-10-13 |CRAN (R 4.4.1) |
|systemfonts |1.3.1 |2025-10-01 |CRAN (R 4.4.1) | |systemfonts |1.3.1 |2025-10-01 |CRAN (R 4.4.1) |
|testthat |3.3.1 |2025-11-25 |CRAN (R 4.4.3) | |testthat |3.3.1 |2025-11-25 |CRAN (R 4.4.3) |
|textshaping |1.0.4 |2025-10-10 |CRAN (R 4.4.1) | |textshaping |1.0.4 |2025-10-10 |CRAN (R 4.4.1) |
@ -207,12 +221,14 @@
|tidyselect |1.2.1 |2024-03-11 |CRAN (R 4.4.0) | |tidyselect |1.2.1 |2024-03-11 |CRAN (R 4.4.0) |
|timechange |0.3.0 |2024-01-18 |CRAN (R 4.4.1) | |timechange |0.3.0 |2024-01-18 |CRAN (R 4.4.1) |
|toastui |0.4.0 |2025-04-03 |CRAN (R 4.4.1) | |toastui |0.4.0 |2025-04-03 |CRAN (R 4.4.1) |
|triebeard |0.4.1 |NA |NA |
|tweenr |2.0.3 |2024-02-26 |CRAN (R 4.4.0) | |tweenr |2.0.3 |2024-02-26 |CRAN (R 4.4.0) |
|twosamples |2.0.1 |2023-06-23 |CRAN (R 4.4.1) | |twosamples |2.0.1 |2023-06-23 |CRAN (R 4.4.1) |
|tzdb |0.5.0 |2025-03-15 |CRAN (R 4.4.1) | |tzdb |0.5.0 |2025-03-15 |CRAN (R 4.4.1) |
|urltools |1.7.3.1 |NA |NA |
|usethis |3.2.1 |2025-09-06 |CRAN (R 4.4.1) | |usethis |3.2.1 |2025-09-06 |CRAN (R 4.4.1) |
|utf8 |1.2.6 |2025-06-08 |CRAN (R 4.4.1) |
|uuid |1.2-1 |2024-07-29 |CRAN (R 4.4.1) | |uuid |1.2-1 |2024-07-29 |CRAN (R 4.4.1) |
|V8 |8.0.1 |2025-10-10 |CRAN (R 4.4.1) |
|vctrs |0.6.5 |2023-12-01 |CRAN (R 4.4.0) | |vctrs |0.6.5 |2023-12-01 |CRAN (R 4.4.0) |
|viridis |0.6.5 |2024-01-29 |CRAN (R 4.4.0) | |viridis |0.6.5 |2024-01-29 |CRAN (R 4.4.0) |
|viridisLite |0.4.2 |2023-05-02 |CRAN (R 4.4.1) | |viridisLite |0.4.2 |2023-05-02 |CRAN (R 4.4.1) |

View file

@ -1,4 +1,4 @@
FROM rocker/tidyverse:4.4.1 FROM rocker/geospatial:4.4.1
RUN apt-get update -y && apt-get install -y cmake make libcurl4-openssl-dev libicu-dev libssl-dev pandoc zlib1g-dev libsecret-1-dev libxml2-dev libx11-dev libcairo2-dev libfontconfig1-dev libfreetype6-dev libfribidi-dev libharfbuzz-dev libjpeg-dev libpng-dev libtiff-dev libwebp-dev libfftw3-dev && rm -rf /var/lib/apt/lists/* RUN apt-get update -y && apt-get install -y cmake make libcurl4-openssl-dev libicu-dev libssl-dev pandoc zlib1g-dev libsecret-1-dev libxml2-dev libx11-dev libcairo2-dev libfontconfig1-dev libfreetype6-dev libfribidi-dev libharfbuzz-dev libjpeg-dev libpng-dev libtiff-dev libwebp-dev libfftw3-dev && rm -rf /var/lib/apt/lists/*
RUN mkdir -p /usr/local/lib/R/etc/ /usr/lib/R/etc/ RUN mkdir -p /usr/local/lib/R/etc/ /usr/lib/R/etc/
RUN echo "options(renv.config.pak.enabled = FALSE, repos = c(CRAN = 'https://cran.rstudio.com/'), download.file.method = 'libcurl', Ncpus = 4)" | tee /usr/local/lib/R/etc/Rprofile.site | tee /usr/lib/R/etc/Rprofile.site RUN echo "options(renv.config.pak.enabled = FALSE, repos = c(CRAN = 'https://cran.rstudio.com/'), download.file.method = 'libcurl', Ncpus = 4)" | tee /usr/local/lib/R/etc/Rprofile.site | tee /usr/lib/R/etc/Rprofile.site

View file

@ -1,7 +1,7 @@
######## ########
#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmpBwniSk/file141b664b382fa.R #### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmpfypcRk/file94c84b9cb1cb.R
######## ########
i18n_path <- here::here("translations") i18n_path <- here::here("translations")
@ -62,7 +62,7 @@ i18n$set_translation_language("en")
#### Current file: /Users/au301842/FreesearchR/R//app_version.R #### Current file: /Users/au301842/FreesearchR/R//app_version.R
######## ########
app_version <- function()'26.1.2' app_version <- function()'25.12.7'
######## ########
@ -4486,7 +4486,7 @@ data_types <- function() {
#### Current file: /Users/au301842/FreesearchR/R//hosted_version.R #### Current file: /Users/au301842/FreesearchR/R//hosted_version.R
######## ########
hosted_version <- function()'v26.1.2-260112' hosted_version <- function()'v25.12.7-251218'
######## ########
@ -5566,7 +5566,6 @@ landing_page_ui <- function(i18n) {
p( p(
class = "lead", class = "lead",
i18n$t("Start with FreesearchR for basic data evaluation and analysis."), i18n$t("Start with FreesearchR for basic data evaluation and analysis."),
i18n$t("The app contains a selelct number of features and will guide you through key analyses."),
i18n$t("When you need more advanced tools, you'll be prepared to use R directly."), i18n$t("When you need more advanced tools, you'll be prepared to use R directly."),
style = "font-size: 1.2rem; color: #555;" style = "font-size: 1.2rem; color: #555;"
) )
@ -10387,11 +10386,9 @@ gg_theme_export <- function() {
language_choices <- function() { language_choices <- function() {
c( c(
"🇩🇰 Dansk" = "da",
# "🇩🇪 Deutsch" = "de",
"🇬🇧 English" = "en", "🇬🇧 English" = "en",
"🇹🇿 Kiswahili" = "sw"#, "🇹🇿 Kiswahili" = "sw",
# "🇸🇪 Svenska" = "sv" "🇩🇰 Dansk" = "da"
) )
} }
@ -10675,11 +10672,11 @@ ui_elements <- function(selection) {
width = 3, width = 3,
shiny::actionButton( shiny::actionButton(
inputId = "modal_update", inputId = "modal_update",
label = i18n$t("Modify factor levels"), label = i18n$t("Reorder factor levels"),
width = "100%" width = "100%"
), ),
shiny::tags$br(), shiny::tags$br(),
shiny::helpText(i18n$t("Reorder or rename the levels of factor/categorical variables.")), shiny::helpText(i18n$t("Reorder the levels of factor/categorical variables.")),
shiny::tags$br(), shiny::tags$br(),
shiny::tags$br() shiny::tags$br()
), ),
@ -11187,16 +11184,16 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
decreasing <- FALSE decreasing <- FALSE
label <- tagList( label <- tagList(
phosphoricons::ph("sort-descending"), phosphoricons::ph("sort-descending"),
i18n$t("Sort by Levels") "Sort Levels"
) )
} else { } else {
decreasing <- TRUE decreasing <- TRUE
label <- tagList( label <- tagList(
phosphoricons::ph("sort-ascending"), phosphoricons::ph("sort-ascending"),
i18n$t("Sort by Levels") "Sort Levels"
) )
} }
updateActionButton(inputId = "sort_levels", label = label) updateActionButton(inputId = "sort_levels", label = as.character(label))
rv$data_grid <- rv$data_grid[order(rv$data_grid[[1]], decreasing = decreasing), ] rv$data_grid <- rv$data_grid[order(rv$data_grid[[1]], decreasing = decreasing), ]
}) })
@ -11205,16 +11202,16 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
decreasing <- FALSE decreasing <- FALSE
label <- tagList( label <- tagList(
phosphoricons::ph("sort-descending"), phosphoricons::ph("sort-descending"),
i18n$t("Sort by count") i18n$t("Sort count")
) )
} else { } else {
decreasing <- TRUE decreasing <- TRUE
label <- tagList( label <- tagList(
phosphoricons::ph("sort-ascending"), phosphoricons::ph("sort-ascending"),
i18n$t("Sort by count") i18n$t("Sort count")
) )
} }
updateActionButton(inputId = "sort_occurrences", label = label) updateActionButton(inputId = "sort_occurrences", label = as.character(label))
rv$data_grid <- rv$data_grid[order(rv$data_grid[[2]], decreasing = decreasing), ] rv$data_grid <- rv$data_grid[order(rv$data_grid[[2]], decreasing = decreasing), ]
}) })
@ -11350,6 +11347,7 @@ factor_new_levels_labels <- function(
labels = ifelse(new_labels == "New label", new_levels, new_labels) labels = ifelse(new_labels == "New label", new_levels, new_labels)
) )
# browser()
if (isTRUE(new_variable)) { if (isTRUE(new_variable)) {
append_column( append_column(
@ -11358,7 +11356,7 @@ factor_new_levels_labels <- function(
name = unique_names(new = paste0(variable, "_updated"), existing = names(data)) name = unique_names(new = paste0(variable, "_updated"), existing = names(data))
) )
} else { } else {
data[[variable]] <- with_label data[[variable]] <- new_variable
data data
} }
} }

View file

@ -28,6 +28,8 @@
"Please note that data modifications are applied before any filtering.","Bemærk at alle ændringer i data anvendes inden filtreringen." "Please note that data modifications are applied before any filtering.","Bemærk at alle ændringer i data anvendes inden filtreringen."
"Advanced data manipulation","Avanceret datamanipulation" "Advanced data manipulation","Avanceret datamanipulation"
"Below options allow more advanced varaible manipulations.","Nedenfor er mulighed for avancerede ændringer i data." "Below options allow more advanced varaible manipulations.","Nedenfor er mulighed for avancerede ændringer i data."
"Reorder factor levels","Arranger niveuer i faktor"
"Reorder the levels of factor/categorical variables.","Arranger rækkefølgen af niveauer i faktorielle/kategoriske variabler."
"New factor","Ny faktor" "New factor","Ny faktor"
"Create factor/categorical variable from a continous variable (number/date/time).","Opret kategorisk variabel på baggrund af kontinuert variabel (numerisk/dato/tid)." "Create factor/categorical variable from a continous variable (number/date/time).","Opret kategorisk variabel på baggrund af kontinuert variabel (numerisk/dato/tid)."
"New variable","Ny variabel" "New variable","Ny variabel"
@ -70,6 +72,7 @@
"Sort by count","Sorter efter antal" "Sort by count","Sorter efter antal"
"Create a new variable (otherwise replaces the one selected)","Opret en ny variabel (ellers erstattes den oprindelige)" "Create a new variable (otherwise replaces the one selected)","Opret en ny variabel (ellers erstattes den oprindelige)"
"Update factor variable","Updater faktor-variabel" "Update factor variable","Updater faktor-variabel"
"Sort count","Sorter antal"
"Levels","Niveauer" "Levels","Niveauer"
"Count","Antal" "Count","Antal"
"Update levels of a factor","Updater niveauerne for en faktor" "Update levels of a factor","Updater niveauerne for en faktor"
@ -262,82 +265,77 @@
"By quantiles (groups of equal size)","I grupper af samme størrelse" "By quantiles (groups of equal size)","I grupper af samme størrelse"
"By week number","Efter ugenummer alene" "By week number","Efter ugenummer alene"
"There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","Der er mere avancerede muligheder for at ændre kategoriske variable, oprette nye kategoriske variabler fra eksisterende data eller nye variable baseret på R-kode. Nederst kan du gendanne originale data." "There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","Der er mere avancerede muligheder for at ændre kategoriske variable, oprette nye kategoriske variabler fra eksisterende data eller nye variable baseret på R-kode. Nederst kan du gendanne originale data."
"Split the variable","Opdel variablen" "Split the variable","Split the variable"
"Original data","Oprindelige data" "Original data","Original data"
"Preview of result","Forhåndsvisning af resultat" "Preview of result","Preview of result"
"No character variables with accepted delimiters detected.","Opdel en tegnstreng med en fælles afgrænser" "No character variables with accepted delimiters detected.","No character variables with accepted delimiters detected."
"Variable to split:","Variabel at dele:" "Variable to split:","Variable to split:"
"Text or character to split string by","Text eller tegn der skal bruges til opdeling" "Text or character to split string by","Text or character to split string by"
"Select delimiter","Vælg afgrænser" "Select delimiter","Select delimiter"
"Direction:","Retning:" "Direction:","Direction:"
"Split string to multiple columns. Keep number of rows.","Opdel strengen i flere kolonner. Behold antallet af rækker." "Split string to multiple columns. Keep number of rows.","Split string to multiple columns. Keep number of rows."
"Split string to multiple observations (rows) in the same column. Also ads id and instance columns","Opdel strengen til flere observationer (rækker) i samme kolonne. Også annonce-id og instanskolonner" "Split string to multiple observations (rows) in the same column. Also ads id and instance columns","Split string to multiple observations (rows) in the same column. Also ads id and instance columns"
"Browse data preview","Forhåndsvisning af resultat" "Browse data preview","Browse data preview"
"Split character string","Opdel tegnstreng" "Split character string","Split character string"
"Split text","Opdel tekst" "Split text","Split text"
"Split a text column by a recognised delimiter.","Ingen tegnvariabler med accepterede afgrænsere fundet." "Split a text column by a recognised delimiter.","Split a text column by a recognised delimiter."
"Split a character string by a common delimiter","Opdel en tekstkolonne med en fælles afgrænser" "Split a character string by a common delimiter","Split a character string by a common delimiter"
"Apply split","Anvend opdeling" "Apply split","Apply split"
"Stacked relative barplot","Stablet relativt søjlediagram" "Stacked relative barplot","Stacked relative barplot"
"Create relative stacked barplots to show the distribution of categorical levels","Opret relative stablede søjlediagrammer for at vise fordelingen af kategoriske niveauer" "Create relative stacked barplots to show the distribution of categorical levels","Create relative stacked barplots to show the distribution of categorical levels"
"Side-by-side barplot","Side om side barplot" "Side-by-side barplot","Side-by-side barplot"
"Create side-by-side barplot to show the distribution of categorical levels","Opret et side-om-side søjlediagram for at vise fordelingen af kategoriske niveauer" "Create side-by-side barplot to show the distribution of categorical levels","Create side-by-side barplot to show the distribution of categorical levels"
"Select table theme","Vælg tema" "Select table theme","Select table theme"
"Level of detail","Detaljeniveau" "Level of detail","Level of detail"
"Minimal","Minimal" "Minimal","Minimal"
"Extensive","Stor" "Extensive","Extensive"
"Letters","Bogstaver" "Letters","Letters"
"Words","Ord" "Words","Words"
"Shorten to first letters","Afkort til første bogstaver" "Shorten to first letters","Shorten to first letters"
"Shorten to first words","Afkort til de første ord" "Shorten to first words","Shorten to first words"
"Missings across variables by the variable **'{input$missings_var}'**","Manglende værdier på tværs af variablerne **'{input$missings_var}'**" "Missings across variables by the variable **'{input$missings_var}'**","Missings across variables by the variable **'{input$missings_var}'**"
"Missing vs non-missing observations in the variable **'{input$missings_var}'**","Manglende vs. ikke-manglende observationer i variablen **'{input$missings_var}'**" "Missing vs non-missing observations in the variable **'{input$missings_var}'**","Missing vs non-missing observations in the variable **'{input$missings_var}'**"
"Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.","Evaluer manglende værdier ved enten at sammenligne manglende værdier på tværs af variabler (valgfrit grupperet efter en kategorisk eller dikotom variabel) eller sammenligne variabler grupperet efter manglende status (mangler eller ej) for en udfaldsvariabel. Hvis der er en signifikant forskel i manglende værdier, kan dette forårsage en bias i dine data, og det bør overvejes omhyggeligt at fortolke dataene og analyserne, da data muligvis ikke mangler tilfældigt." "Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.","Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random."
"Calculating. Hold tight for a moment..","Beregner. Hold lige fast et øjeblik.." "Calculating. Hold tight for a moment..","Calculating. Hold tight for a moment.."
"Overview of missing observations","Oversigt over manglende observationer" "Overview of missing observations","Overview of missing observations"
"Analysis method for missingness overview","Analysemetode for oversigt over manglende indhold" "Analysis method for missingness overview","Analysis method for missingness overview"
"Overview of missings across variables","Oversigt over mangler på tværs af variabler" "Overview of missings across variables","Overview of missings across variables"
"Overview of difference in variables by missing status in outcome","Oversigt over forskel i variabler ved manglende status i resultat" "Overview of difference in variables by missing status in outcome","Overview of difference in variables by missing status in outcome"
"Select a variable for grouped overview","Vælg en variabel til grupperet oversigt" "Select a variable for grouped overview","Select a variable for grouped overview"
"Select outcome variable for overview","Vælg resultatvariabel for oversigt" "Select outcome variable for overview","Select outcome variable for overview"
"No outcome measure chosen","Ingen resultatmål valgt" "No outcome measure chosen","No outcome measure chosen"
"There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.","Der er en betydelig forskel i manglende data i {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grupperet efter det valgte resultat/grupperingsvariabel {outcome}." "There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.","There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}."
"Include group differences","Inkluder gruppeforskelle" "Include group differences","Include group differences"
"Error:","Fejl:" "Error:","Error:"
"Download table","Download tabel" "Download table","Download table"
"Welcome to FreesearchR","Velkommen til FreesearchR" "Welcome to FreesearchR","Welcome to FreesearchR"
"A free data analysis tool for clinicians, students, and learners","Et gratis dataanalyseværktøj til klinikere, studerende og lærende" "A free data analysis tool for clinicians, students, and learners","A free data analysis tool for clinicians, students, and learners"
"Core Features","Kernefunktioner" "Core Features","Core Features"
"Import Data","Importér data" "Import Data","Import Data"
"Data Management","Datahåndtering" "Data Management","Data Management"
"Filter, modify, and create new variables. Prepare your data efficiently for analysis.","Filtrer, rediger og opret nye variabler. Forbered dine data effektivt til analyse." "Filter, modify, and create new variables. Prepare your data efficiently for analysis.","Filter, modify, and create new variables. Prepare your data efficiently for analysis."
"Descriptive Statistics","Deskriptiv statistik" "Descriptive Statistics","Descriptive Statistics"
"Additional Capabilities","Yderligere funktioner" "Additional Capabilities","Additional Capabilities"
"Data Visualization","Datavisualisering" "Data Visualization","Data Visualization"
"Create simple, clean plots for quick insights and overview","Opret enkle, overskuelige plots for hurtig indsigt og overblik" "Create simple, clean plots for quick insights and overview","Create simple, clean plots for quick insights and overview"
"Regression Models","Regressionsmodeller" "Regression Models","Regression Models"
"Build simple regression models for advanced analysis","Byg simple regressionsmodeller til avanceret analyse" "Build simple regression models for advanced analysis","Build simple regression models for advanced analysis"
"Export & Learn","Eksportér og lær" "Export & Learn","Export & Learn"
"Download Results","Download resultater" "Download Results","Download Results"
"Get Modified Data","Få ændrede data" "Get Modified Data","Get Modified Data"
"Reproducible Code","Reproducerbar kode" "Reproducible Code","Reproducible Code"
"Full Documentation","Fuld dokumentation" "Full Documentation","Full Documentation"
"Share Feedback","Del feedback" "Share Feedback","Share Feedback"
"Contact Us","Kontakt os" "Contact Us","Contact Us"
"FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org","FreesearchR er tilgængelig på flere sprog. For at få hjælp med oversættelser, kontakt os venligst på info@freesearchr.org" "FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org","FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org"
"Home","Hjem" "Home","Home"
"Start with FreesearchR for basic data evaluation and analysis.","Start med FreesearchR til grundlæggende dataevaluering og -analyse." "Start with FreesearchR for basic data evaluation and analysis.","Start with FreesearchR for basic data evaluation and analysis."
"When you need more advanced tools, you'll be better prepared to use R directly.","Når du har brug for mere avancerede værktøjer, vil du være bedre forberedt på at bruge R direkte." "When you need more advanced tools, you'll be better prepared to use R directly.","When you need more advanced tools, you'll be better prepared to use R directly."
"(Read more)","(Læs mere)" "(Read more)","(Read more)"
"Run the FreesearchR app locally when working with sensitive data.","Kør FreesearchR-appen lokalt, når du arbejder med følsomme data." "Run the FreesearchR app locally when working with sensitive data.","Run the FreesearchR app locally when working with sensitive data."
"Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.","Indlæs data fra regneark, REDCap-servere, eller prøv med eksempeldata. Flere kilder understøttes for maksimal fleksibilitet." "Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.","Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility."
"Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.","Evaluer data med beskrivende analyser, undersøg korrelationer og gennemgå manglende observationer effektivt." "Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.","Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively."
"Export results directly to your text editor","Eksporter resultater direkte til din teksteditor" "Export results directly to your text editor","Export results directly to your text editor"
"Save your processed datasets for later","Gem dine behandlede datasæt til senere" "Save your processed datasets for later","Save your processed datasets for later"
"Learn and reproduce results in R","Lær og reproducer resultater i R" "Learn and reproduce results in R","Learn and reproduce results in R"
"When you need more advanced tools, you'll be prepared to use R directly.","Når du har brug for mere avancerede værktøjer, vil du være forberedt på at bruge R direkte." "When you need more advanced tools, you'll be prepared to use R directly.","When you need more advanced tools, you'll be prepared to use R directly."
"The app contains a selelct number of features and will guide you through key analyses.","Appen indeholder udvalgte funktioner, og guider dig gennem de vigtigste analyser."
"Sort by Levels","Sorter efter niveauer"
"Reorder factor levels","Omarranger niveauer"
"Modify factor levels","Modify factor levels"
"Reorder or rename the levels of factor/categorical variables.","Reorder or rename the levels of factor/categorical variables."

1 en da
28 Please note that data modifications are applied before any filtering. Bemærk at alle ændringer i data anvendes inden filtreringen.
29 Advanced data manipulation Avanceret datamanipulation
30 Below options allow more advanced varaible manipulations. Nedenfor er mulighed for avancerede ændringer i data.
31 Reorder factor levels Arranger niveuer i faktor
32 Reorder the levels of factor/categorical variables. Arranger rækkefølgen af niveauer i faktorielle/kategoriske variabler.
33 New factor Ny faktor
34 Create factor/categorical variable from a continous variable (number/date/time). Opret kategorisk variabel på baggrund af kontinuert variabel (numerisk/dato/tid).
35 New variable Ny variabel
72 Sort by count Sorter efter antal
73 Create a new variable (otherwise replaces the one selected) Opret en ny variabel (ellers erstattes den oprindelige)
74 Update factor variable Updater faktor-variabel
75 Sort count Sorter antal
76 Levels Niveauer
77 Count Antal
78 Update levels of a factor Updater niveauerne for en faktor
265 By quantiles (groups of equal size) I grupper af samme størrelse
266 By week number Efter ugenummer alene
267 There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data. Der er mere avancerede muligheder for at ændre kategoriske variable, oprette nye kategoriske variabler fra eksisterende data eller nye variable baseret på R-kode. Nederst kan du gendanne originale data.
268 Split the variable Opdel variablen Split the variable
269 Original data Oprindelige data Original data
270 Preview of result Forhåndsvisning af resultat Preview of result
271 No character variables with accepted delimiters detected. Opdel en tegnstreng med en fælles afgrænser No character variables with accepted delimiters detected.
272 Variable to split: Variabel at dele: Variable to split:
273 Text or character to split string by Text eller tegn der skal bruges til opdeling Text or character to split string by
274 Select delimiter Vælg afgrænser Select delimiter
275 Direction: Retning: Direction:
276 Split string to multiple columns. Keep number of rows. Opdel strengen i flere kolonner. Behold antallet af rækker. Split string to multiple columns. Keep number of rows.
277 Split string to multiple observations (rows) in the same column. Also ads id and instance columns Opdel strengen til flere observationer (rækker) i samme kolonne. Også annonce-id og instanskolonner Split string to multiple observations (rows) in the same column. Also ads id and instance columns
278 Browse data preview Forhåndsvisning af resultat Browse data preview
279 Split character string Opdel tegnstreng Split character string
280 Split text Opdel tekst Split text
281 Split a text column by a recognised delimiter. Ingen tegnvariabler med accepterede afgrænsere fundet. Split a text column by a recognised delimiter.
282 Split a character string by a common delimiter Opdel en tekstkolonne med en fælles afgrænser Split a character string by a common delimiter
283 Apply split Anvend opdeling Apply split
284 Stacked relative barplot Stablet relativt søjlediagram Stacked relative barplot
285 Create relative stacked barplots to show the distribution of categorical levels Opret relative stablede søjlediagrammer for at vise fordelingen af kategoriske niveauer Create relative stacked barplots to show the distribution of categorical levels
286 Side-by-side barplot Side om side barplot Side-by-side barplot
287 Create side-by-side barplot to show the distribution of categorical levels Opret et side-om-side søjlediagram for at vise fordelingen af kategoriske niveauer Create side-by-side barplot to show the distribution of categorical levels
288 Select table theme Vælg tema Select table theme
289 Level of detail Detaljeniveau Level of detail
290 Minimal Minimal
291 Extensive Stor Extensive
292 Letters Bogstaver Letters
293 Words Ord Words
294 Shorten to first letters Afkort til første bogstaver Shorten to first letters
295 Shorten to first words Afkort til de første ord Shorten to first words
296 Missings across variables by the variable **'{input$missings_var}'** Manglende værdier på tværs af variablerne **'{input$missings_var}'** Missings across variables by the variable **'{input$missings_var}'**
297 Missing vs non-missing observations in the variable **'{input$missings_var}'** Manglende vs. ikke-manglende observationer i variablen **'{input$missings_var}'** Missing vs non-missing observations in the variable **'{input$missings_var}'**
298 Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random. Evaluer manglende værdier ved enten at sammenligne manglende værdier på tværs af variabler (valgfrit grupperet efter en kategorisk eller dikotom variabel) eller sammenligne variabler grupperet efter manglende status (mangler eller ej) for en udfaldsvariabel. Hvis der er en signifikant forskel i manglende værdier, kan dette forårsage en bias i dine data, og det bør overvejes omhyggeligt at fortolke dataene og analyserne, da data muligvis ikke mangler tilfældigt. Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.
299 Calculating. Hold tight for a moment.. Beregner. Hold lige fast et øjeblik.. Calculating. Hold tight for a moment..
300 Overview of missing observations Oversigt over manglende observationer Overview of missing observations
301 Analysis method for missingness overview Analysemetode for oversigt over manglende indhold Analysis method for missingness overview
302 Overview of missings across variables Oversigt over mangler på tværs af variabler Overview of missings across variables
303 Overview of difference in variables by missing status in outcome Oversigt over forskel i variabler ved manglende status i resultat Overview of difference in variables by missing status in outcome
304 Select a variable for grouped overview Vælg en variabel til grupperet oversigt Select a variable for grouped overview
305 Select outcome variable for overview Vælg resultatvariabel for oversigt Select outcome variable for overview
306 No outcome measure chosen Ingen resultatmål valgt No outcome measure chosen
307 There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}. Der er en betydelig forskel i manglende data i {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grupperet efter det valgte resultat/grupperingsvariabel {outcome}. There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.
308 Include group differences Inkluder gruppeforskelle Include group differences
309 Error: Fejl: Error:
310 Download table Download tabel Download table
311 Welcome to FreesearchR Velkommen til FreesearchR Welcome to FreesearchR
312 A free data analysis tool for clinicians, students, and learners Et gratis dataanalyseværktøj til klinikere, studerende og lærende A free data analysis tool for clinicians, students, and learners
313 Core Features Kernefunktioner Core Features
314 Import Data Importér data Import Data
315 Data Management Datahåndtering Data Management
316 Filter, modify, and create new variables. Prepare your data efficiently for analysis. Filtrer, rediger og opret nye variabler. Forbered dine data effektivt til analyse. Filter, modify, and create new variables. Prepare your data efficiently for analysis.
317 Descriptive Statistics Deskriptiv statistik Descriptive Statistics
318 Additional Capabilities Yderligere funktioner Additional Capabilities
319 Data Visualization Datavisualisering Data Visualization
320 Create simple, clean plots for quick insights and overview Opret enkle, overskuelige plots for hurtig indsigt og overblik Create simple, clean plots for quick insights and overview
321 Regression Models Regressionsmodeller Regression Models
322 Build simple regression models for advanced analysis Byg simple regressionsmodeller til avanceret analyse Build simple regression models for advanced analysis
323 Export & Learn Eksportér og lær Export & Learn
324 Download Results Download resultater Download Results
325 Get Modified Data Få ændrede data Get Modified Data
326 Reproducible Code Reproducerbar kode Reproducible Code
327 Full Documentation Fuld dokumentation Full Documentation
328 Share Feedback Del feedback Share Feedback
329 Contact Us Kontakt os Contact Us
330 FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org FreesearchR er tilgængelig på flere sprog. For at få hjælp med oversættelser, kontakt os venligst på info@freesearchr.org FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org
331 Home Hjem Home
332 Start with FreesearchR for basic data evaluation and analysis. Start med FreesearchR til grundlæggende dataevaluering og -analyse. Start with FreesearchR for basic data evaluation and analysis.
333 When you need more advanced tools, you'll be better prepared to use R directly. Når du har brug for mere avancerede værktøjer, vil du være bedre forberedt på at bruge R direkte. When you need more advanced tools, you'll be better prepared to use R directly.
334 (Read more) (Læs mere) (Read more)
335 Run the FreesearchR app locally when working with sensitive data. Kør FreesearchR-appen lokalt, når du arbejder med følsomme data. Run the FreesearchR app locally when working with sensitive data.
336 Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility. Indlæs data fra regneark, REDCap-servere, eller prøv med eksempeldata. Flere kilder understøttes for maksimal fleksibilitet. Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.
337 Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively. Evaluer data med beskrivende analyser, undersøg korrelationer og gennemgå manglende observationer effektivt. Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.
338 Export results directly to your text editor Eksporter resultater direkte til din teksteditor Export results directly to your text editor
339 Save your processed datasets for later Gem dine behandlede datasæt til senere Save your processed datasets for later
340 Learn and reproduce results in R Lær og reproducer resultater i R Learn and reproduce results in R
341 When you need more advanced tools, you'll be prepared to use R directly. Når du har brug for mere avancerede værktøjer, vil du være forberedt på at bruge R direkte. When you need more advanced tools, you'll be prepared to use R directly.
The app contains a selelct number of features and will guide you through key analyses. Appen indeholder udvalgte funktioner, og guider dig gennem de vigtigste analyser.
Sort by Levels Sorter efter niveauer
Reorder factor levels Omarranger niveauer
Modify factor levels Modify factor levels
Reorder or rename the levels of factor/categorical variables. Reorder or rename the levels of factor/categorical variables.

View file

@ -1,343 +1,341 @@
"en","sw" "en","sw"
"Hello","Habari" "Hello","Habari"
"Get started","Tuanze!" "Get started","Tuanze"
"File upload","Upakiaji wa faili" "File upload","Upakiaji wa faili"
"REDCap server export","Usafirishaji wa seva ya REDCap" "REDCap server export","Uhamishaji wa seva ya REDCap"
"Local or sample data","Data ya ndani au ya sampuli" "Local or sample data","Taarifa za ndani au za mfano"
"Please be mindfull handling sensitive data","Tafadhali kuwa mwangalifu kushughulikia data nyeti" "Please be mindfull handling sensitive data","Tafadhali kumbuka kushughulikia data nyeti"
"The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).","Programu ya ***FreesearchR*** huhifadhi data kwa ajili ya uchambuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani. [Soma zaidi hapa](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine)." "The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).","Programu ya ***FreesearchR*** huhifadhi data kwa uchanganuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani ya nchi. [Soma zaidi hapa](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine)."
"Quick overview","Muhtasari wa haraka" "Quick overview","Muhtasari wa haraka"
"Select variables for final import","Chagua vigezo vya kuingiza mwisho" "Select variables for final import","Chagua vigeu kwa ajili ya uingizaji wa mwisho"
"Exclude incomplete variables:","Ondoa vigezo visivyokamilika:" "Exclude incomplete variables:","Usijumuishe vigeu visivyokamilika:"
"Manual selection:","Uchaguzi wa mikono:" "Manual selection:","Uchaguzi wa mikono:"
"Let's begin!","Tuanze!" "Let's begin!","Tuanze!"
"Analysis validation","Uthibitisho wa uchambuzi" "Analysis validation","Uthibitishaji wa uchambuzi"
"Report","Ripoti" "Report","Ripoti"
"Choose your favourite output file format for further work, and download, when the analyses are done.","Chagua umbizo la faili ya matokeo unayopenda kwa kazi zaidi, na upakue, uchambuzi utakapokamilika." "Choose your favourite output file format for further work, and download, when the analyses are done.","Chagua umbizo la faili la towe lako kwa kazi zaidi, na upakue, uchanganuzi utakapofanywa."
"www/intro.html","www/utangulizi.html" "www/intro.html","www/intro_sw.html"
"<p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>","<p>Programu ya <em><strong>FreesearchR</strong></em> huhifadhi data kwa ajili ya uchambuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Soma zaidi hapa</a></p>" "<p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>","<p>Programu ya <em><strong>FreesearchR</strong></em> huhifadhi data kwa ajili ya uchanganuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani ya nchi. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Soma zaidi hapa</a></p>"
"Overview and filter","Muhtasari na kichujio" "Overview and filter","Muhtasari na chujio"
"Overview and filtering","Muhtasari na uchujaji" "Overview and filtering","Muhtasari na uchujaji"
"Visual overview","Muhtasari wa kuona" "Visual overview","Muhtasari wa kuona"
"Filter data types","Chuja aina za data" "Filter data types","Chuja aina za data"
"Filter observations","Uchunguzi wa vichujio" "Filter observations","Chuja uchunguzi"
"Apply filter on observation","Tumia kichujio wakati wa uchunguzi" "Apply filter on observation","Tumia kichujio unapotazama"
"Edit and create data","Hariri na uunde data" "Edit and create data","Edit and create data"
"Subset, rename and convert variables","Weka sehemu ndogo, badilisha jina na ubadilishe vigezo" "Subset, rename and convert variables","Subset, rename and convert variables"
"Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).","Hapa chini, kuna chaguo kadhaa za urekebishaji rahisi wa data kama vile kusasisha vigezo kwa kubadilisha majina, kuunda lebo mpya (kwa majedwali mazuri zaidi katika ripoti) na kubadilisha madarasa ya vigezo (nambari, vipengele/kategoria n.k.)." "Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).","Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.)."
"Please note that data modifications are applied before any filtering.","Tafadhali kumbuka kwamba marekebisho ya data hutumika kabla ya kuchuja yoyote." "Please note that data modifications are applied before any filtering.","Please note that data modifications are applied before any filtering."
"Advanced data manipulation","Udhibiti wa data wa hali ya juu" "Advanced data manipulation","Advanced data manipulation"
"Below options allow more advanced varaible manipulations.","Chaguzi zilizo hapa chini huruhusu udanganyifu wa hali ya juu zaidi unaoweza kubadilika." "Below options allow more advanced varaible manipulations.","Below options allow more advanced varaible manipulations."
"New factor","Kipengele kipya"
"Create factor/categorical variable from a continous variable (number/date/time).","Unda kigezo cha kipengele/kitengo kutoka kwa kigezo endelevu (nambari/tarehe/saa)."
"New variable","Kigezo kipya"
"Create a new variable based on an R-expression.","Unda kigezo kipya kulingana na usemi wa R."
"Compare modified data to original","Linganisha data iliyobadilishwa na ya asili"
"Raw print of the original vs the modified data.","Chapisho ghafi la data asili dhidi ya data iliyorekebishwa."
"Original data:","Data asilia:"
"Modified data:","Data iliyorekebishwa:"
"New column name:","Jina jipya la safu wima:"
"Group calculation by:","Hesabu ya kikundi kwa:"
"Enter an expression to define new column:","Ingiza usemi ili kufafanua safu wima mpya:"
"Click on a column name to add it to the expression:","Bofya jina la safu wima ili kuliongeza kwenye usemi:"
"Create column","Unda safu wima"
"New column name cannot be empty","Jina jipya la safu wima haliwezi kuwa tupu"
"Create a new column","Unda safu wima mpya"
"Some operations are not allowed","Baadhi ya shughuli haziruhusiwi"
"Column added!","Safu wima imeongezwa!"
"Unique values:","Thamani za kipekee:"
"Variable to cut:","Inaweza kubadilishwa kwa kukata:"
"Close intervals on the right","Funga vipindi upande wa kulia"
"Include lowest value","Jumuisha thamani ya chini kabisa"
"Create factor variable","Unda kigezo cha vipengele"
"Fixed breaks:","Mapumziko yasiyobadilika:"
"Method:","Mbinu:"
"Convert Numeric to Factor","Badilisha Nambari kuwa Kipengele"
"Unique:","Kipekee:"
"Missing:","Haipo:"
"Most Common:","Ya Kawaida Zaidi:"
"Min:","Kiwango cha chini:"
"Mean:","Wastani:"
"Max:","Kiwango cha juu zaidi:"
"Decimal separator:","Kitenganishi cha desimali:"
"First five rows are shown below:","Safu tano za kwanza zinaonyeshwa hapa chini:"
"Imported data","Data iliyoingizwa"
"www/intro.md","www/intro.md"
"Choose your data","Chagua data yako"
"Upload a file, get data directly from REDCap or use local or sample data.","Pakia faili, pata data moja kwa moja kutoka REDCap au tumia data ya ndani au sampuli."
"Factor variable to reorder:","Kigezo cha vipengele ili kupanga upya:"
"Sort by levels","Panga kwa viwango"
"Sort by count","Panga kwa hesabu"
"Create a new variable (otherwise replaces the one selected)","Unda kigezo kipya (vinginevyo kinachukua nafasi ya kile kilichochaguliwa)"
"Update factor variable","Sasisha kigezo cha kipengele"
"Levels","Viwango"
"Count","Hesabu"
"Update levels of a factor","Sasisha viwango vya kipengele"
"Update & select variables","Sasisha na uchague vigezo"
"Date format:","Muundo wa tarehe:"
"Date to use as origin to convert date/datetime:","Tarehe ya kutumia kama asili ya kubadilisha tarehe/tarehe:"
"Apply changes","Tumia mabadiliko"
"No data to display.","Hakuna data ya kuonyesha."
"Data successfully updated!","Data imesasishwa kwa mafanikio!"
"You removed {p_out} % of observations.","Umeondoa {p_out} % ya uchunguzi."
"You removed {p_out} % of variables.","Umeondoa {p_out} % ya vigezo."
"You can import {file_extensions_text} files","Unaweza kuingiza faili za {file_extensions_text}"
"You can choose between these file types:","Unaweza kuchagua kati ya aina hizi za faili:"
"Rows to skip before reading data:","Safu za kuruka kabla ya kusoma data:"
"Missing values character(s):","Herufi za thamani zinazokosekana:"
"if several use a comma (',') to separate them","ikiwa kadhaa hutumia koma (',') kuwatenganisha"
"Encoding:","Usimbaji:"
"Upload a file:","Pakia faili:"
"Browse...","Vinjari..."
"Select sheet to import:","Chagua laha ya kuingiza:"
"No file selected.","Hakuna faili iliyochaguliwa."
"Evaluate","Tathmini"
"Visuals","Picha"
"Regression","Urejeshaji"
"Download","Pakua"
"{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.","{data_text} ina uchunguzi wa {n} na vigezo vya {n_var}, pamoja na visa kamili vya {n_complete} ({p_complete}%)."
"Prepare","Tayarisha"
"At 0, only complete variables are included; at 100, all variables are included.","Katika 0, ni vigezo kamili pekee vilivyojumuishwa; katika 100, vigezo vyote vimejumuishwa."
"The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.","Jozi zifuatazo za vigeu zina uhusiano wa hali ya juu: {sentence_paste(.x,and_str)}.\nFikiria kutenga moja {zaidi} kutoka kwenye seti ya data ili kuhakikisha vigeu vinajitegemea."
"No variables have a correlation measure above the threshold.","Hakuna vigezo vyenye kipimo cha uhusiano kilicho juu ya kizingiti."
"and","na"
"from each pair","kutoka kwa kila jozi"
"Only non-text variables are available for plotting. Go the ""Data"" to reclass data to plot.","Vigezo visivyo vya maandishi pekee ndivyo vinavyopatikana kwa ajili ya kupanga. Nenda kwenye ""Data"" ili kupanga upya data ili kupanga."
"Plot","Kipande cha habari"
"Adjust settings, then press ""Plot"".","Rekebisha mipangilio, kisha bonyeza ""Plot""."
"Plot height (mm)","Urefu wa kiwanja (mm)"
"Plot width (mm)","Upana wa kiwanja (mm)"
"File format","Umbizo la faili"
"Download plot","Pakua njama"
"Select variable","Chagua kigezo"
"Response variable","Kigezo cha majibu"
"Plot type","Aina ya kiwanja"
"Please select","Tafadhali chagua"
"Additional variables","Vigezo vya ziada"
"Secondary variable","Kigezo cha pili"
"No variable","Hakuna kigezo"
"Grouping variable","Kigezo cha kuweka katika makundi"
"No stratification","Hakuna matabaka"
"Drawing the plot. Hold tight for a moment..","Kuchora njama. Shikilia kwa muda.."
"#Plotting\n","#Upangaji\n"
"Stacked horizontal bars","Pau za mlalo zilizopangwa kwa mpangilio"
"A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars","Njia ya kitamaduni ya kuibua usambazaji wa mizani ya kawaida kama vile Mizani ya Nafasi iliyorekebishwa na inayojulikana kama baa za Grotta"
"Violin plot","Hadithi ya violin"
"A modern alternative to the classic boxplot to visualise data distribution","Njia mbadala ya kisasa ya mpangilio wa kisanduku wa kawaida ili kuibua usambazaji wa data"
"Sankey plot","Njama ya Sankey"
"A way of visualising change between groups","Njia ya kuibua mabadiliko kati ya vikundi"
"Scatter plot","Njama ya kutawanya"
"A classic way of showing the association between to variables","Njia ya kawaida ya kuonyesha uhusiano kati ya vigezo"
"Box plot","Kipande cha sanduku"
"A classic way to plot data distribution by groups","Njia ya kawaida ya kupanga usambazaji wa data kwa vikundi"
"Euler diagram","Mchoro wa Euler"
"Generate area-proportional Euler diagrams to display set relationships","Tengeneza michoro ya Euler inayolingana na eneo ili kuonyesha uhusiano uliowekwa"
"Documentation","Nyaraka"
"Data is only stored for analyses and deleted when the app is closed.","Data huhifadhiwa kwa ajili ya uchambuzi na kufutwa tu wakati programu imefungwa."
"Feedback","Maoni"
"License: AGPLv3","Leseni: AGPLv3"
"Source","Chanzo"
"Data includes {n_pairs} pairs of highly correlated variables.","Data inajumuisha jozi {n_pairs} za vigeu vinavyohusiana sana."
"Create plot","Unda njama"
"Coefficients plot","Mchoro wa viambato"
"Checks","Hundi"
"Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters.","Hapa chini kuna jedwali la muhtasari kwa ajili ya ufahamu wa haraka, na upande wa kulia unaweza kuibua madarasa ya data, kuvinjari uchunguzi na kutumia vichujio tofauti vya data."
"Browse observations","Vinjari uchunguzi"
"Settings","Mipangilio"
"The following error occured on determining correlations:","Hitilafu ifuatayo ilitokea katika kubaini uhusiano:"
"We encountered the following error creating your report:","Tulikutana na hitilafu ifuatayo katika kuunda ripoti yako:"
"No missing observations","Hakuna uchunguzi unaokosekana"
"There is a total of {p_miss} % missing observations.","Kuna jumla ya uchunguzi wa {p_miss}% unaokosekana."
"Median:","Wastani:"
"Restore original data","Rejesha data asili"
"Reset to original imported dataset. Careful! There is no un-doing.","Rudisha kwenye seti ya data asili iliyoingizwa. Kuwa mwangalifu! Hakuna kutengua."
"Characteristics","Sifa"
"Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.","Vigezo vya vipengele/kategoria pekee ndivyo vinavyopatikana kwa ajili ya uainishaji wa tabaka. Rudi kwenye kichupo cha 'Tayarisha' ili kupanga upya kigezo ikiwa hakipo kwenye orodha."
"Compare strata?","Linganisha tabaka?"
"Correlations","Uhusiano"
"To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.","Ili kuepuka kutathmini uhusiano wa kigezo cha matokeo, hii inaweza kutengwa kwenye njama au kuchagua 'hakuna'."
"Correlation cut-off","Kikomo cha uhusiano"
"Set the cut-off for considered 'highly correlated'.","Weka kikomo cha 'kinachohusiana sana'."
"Missings","Hazipo"
"Class","Darasa"
"Observations","Uchunguzi"
"Data classes and missing observations","Madarasa ya data na uchunguzi unaokosekana"
"Sure you want to reset data? This cannot be undone.","Una uhakika unataka kuweka upya data? Hii haiwezi kutenduliwa."
"Cancel","Ghairi"
"Confirm","Thibitisha"
"The filtered data","Data iliyochujwa"
"Create new factor","Unda kipengele kipya"
"This window is aimed at advanced users and require some *R*-experience!","Dirisha hili linalenga watumiaji wa hali ya juu na linahitaji uzoefu wa *R*!"
"Create new variables","Unda vigezo vipya"
"Select data types to include","Chagua aina za data za kujumuisha"
"Uploaded data overview","Muhtasari wa data iliyopakiwa"
"Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.","Hapa kuna muhtasari wa jinsi data yako inavyotafsiriwa, na mahali ambapo data inakosekana. Tumia taarifa hii kuzingatia ikiwa data inakosekana bila mpangilio au ikiwa baadhi ya uchunguzi unakosekana kimfumo ambao unaweza kusababishwa na upendeleo wa uchunguzi."
"Specify covariables","Bainisha vigeu vinavyoweza kuunganishwa"
"If none are selected, all are included.","Ikiwa hakuna aliyechaguliwa, wote wamejumuishwa."
"Analyse","Changanua"
"Working...","Inafanya kazi..."
"Press 'Analyse' to create the regression model and after changing parameters.","Bonyeza 'Changanua' ili kuunda modeli ya urejeshaji na baada ya kubadilisha vigezo."
"Show p-value","Onyesha thamani ya p"
"Model checks","Ukaguzi wa modeli"
"Please confirm data reset!","Tafadhali thibitisha urejeshaji wa data!"
"Import data from REDCap","Ingiza data kutoka REDCap"
"REDCap server","Seva ya REDCap"
"Web address","Anwani ya wavuti"
"Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'","Muundo unapaswa kuwa 'https://redcap.your.institution/' au 'https://your.institution/redcap/'"
"API token","Tokeni ya API"
"The token is a string of 32 numbers and letters.","Tokeni ni mfuatano wa nambari na herufi 32."
"Connect","Unganisha"
"Data import parameters","Vigezo vya kuingiza data"
"Select fields/variables to import and click the funnel to apply optional filters","Chagua sehemu/vigezo vya kuingiza na ubofye faneli ili kutumia vichujio vya hiari"
"Import","Ingiza"
"Click to see data dictionary","Bofya ili kuona kamusi ya data"
"Connected to server!","Imeunganishwa na seva!"
"The {data_rv$info$project_title} project is loaded.","Mradi wa {data_rv$info$project_title} umepakiwa."
"Data dictionary","Kamusi ya data"
"Preview:","Hakikisho:"
"Imported data set","Seti ya data iliyoingizwa"
"Select fields/variables to import:","Chagua sehemu/vigezo vya kuingiza:"
"Specify the data format","Bainisha umbizo la data"
"Fill missing values?","Jaza thamani zinazokosekana?"
"Requested data was retrieved!","Data iliyoombwa ilipatikana!"
"Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data imerejeshwa, lakini inaonekana ni kitambulisho pekee kilichorejeshwa kutoka kwa seva. Tafadhali wasiliana na msimamizi wako wa REDCap kama una ruhusa zinazohitajika kwa ufikiaji wa data."
"Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data imerejeshwa, lakini inaonekana kama si sehemu zote zilizoombwa zilizorejeshwa kutoka kwa seva. Tafadhali wasiliana na msimamizi wako wa REDCap kama una ruhusa zinazohitajika kwa ufikiaji wa data."
"Click to see the imported data","Bofya ili kuona data iliyoingizwa"
"Regression table","Jedwali la urejeshaji"
"Import a dataset from an environment","Ingiza seti ya data kutoka kwa mazingira"
"Select a dataset:","Chagua seti ya data:"
"List of datasets...","Orodha ya seti za data..."
"No data selected!","Hakuna data iliyochaguliwa!"
"No dataset here...","Hakuna seti ya data hapa..."
"Use a dataset from your environment or from the environment of a package.","Tumia seti ya data kutoka kwa mazingira yako au kutoka kwa mazingira ya kifurushi."
"Not a data.frame","Sio data.frame"
"Select source","Chagua chanzo"
"Select a data source:","Chagua chanzo cha data:"
"Yes","Ndiyo"
"No","Hapana"
"Coefficient plot","Mchoro wa mgawo"
"Select outcome variable","Chagua kigezo cha matokeo"
"Choose regression analysis","Chagua uchanganuzi wa marejeleo"
"Covariables to format as categorical","Vigezo vinavyoweza kubadilishwa ili viundwe kama vya kategoria"
"Select variable to stratify baseline","Chagua kigezo ili kuweka tabaka la msingi"
"Select models to plot","Chagua mifano ya kuchora"
"Creating regression models failed with the following error:","Kuunda mifumo ya urejeshaji kumeshindwa kutokana na hitilafu ifuatayo:"
"Creating a regression table failed with the following error:","Kuunda jedwali la urejelezaji kulishindwa kutokana na hitilafu ifuatayo:"
"Saving the plot. Hold on for a moment..","Kuhifadhi njama. Subiri kwa muda.."
"Running model assumptions checks failed with the following error:","Kuendesha ukaguzi wa mawazo ya modeli kulishindwa na hitilafu ifuatayo:"
"Select checks to plot","Chagua ukaguzi wa kupanga"
"Multivariable regression model checks","Ukaguzi wa modeli ya urejeshaji unaoweza kubadilika-badilika"
"Grouped by {get_label(data,ter)}","Imepangwa kwa makundi kulingana na {get_label(data,ter)}"
"Option to perform statistical comparisons between strata in baseline table.","Chaguo la kufanya ulinganisho wa takwimu kati ya tabaka katika jedwali la msingi."
"Press 'Evaluate' to create the comparison table.","Bonyeza 'Tathmini' ili kuunda jedwali la kulinganisha."
"The data includes {n_col} variables. Please limit to 100.","Data inajumuisha vigezo vya {n_col}. Tafadhali punguza hadi 100."
"Data import","Uingizaji wa data"
"Data import formatting","Uumbizaji wa kuingiza data"
"Data modifications","Marekebisho ya data"
"Variables filter","Kichujio cha vigeugeu"
"Data filter","Kichujio cha data"
"Data characteristics table","Jedwali la sifa za data"
"The dataset without text variables","Seti ya data bila vigeu vya maandishi"
"Creating the table. Hold on for a moment..","Kutengeneza meza. Subiri kwa muda.."
"Generating the report. Hold on for a moment..","Inazalisha ripoti. Subiri kidogo.."
"We encountered the following error showing missingness:","Tulikutana na hitilafu ifuatayo inayoonyesha ukosefu:"
"We encountered the following error browsing your data:","Tulipata hitilafu ifuatayo wakati wa kuvinjari data yako:"
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Chagua jina la safu wima itakayoundwa au kurekebishwa, kisha ingiza usemi kabla ya kubofya kitufe kilicho hapa chini ili kuunda kigezo, au ghairi ili kutoka bila kuhifadhi chochote."
"Other","Nyingine"
"Hour of the day","Saa ya siku"
"Breaks","Mapumziko"
"By day of the week","Kwa siku ya wiki"
"By weekday","Kufikia siku ya wiki"
"By week number and year","Kwa idadi ya wiki na mwaka"
"By week number","Kwa nambari ya wiki"
"By month and year","Kwa mwezi na mwaka"
"By month only","Kwa mwezi pekee"
"By quarter of the year","Kufikia robo ya mwaka"
"By year","Kwa mwaka"
"Keep only most common","Weka pekee ya kawaida"
"Number","Nambari"
"Combine below percentage","Changanya chini ya asilimia"
"Percentage","Asilimia"
"By specified numbers","Kwa nambari zilizoainishwa"
"By quantiles (groups of equal size)","Kwa quantiles (vikundi vya ukubwa sawa)"
"Please fill in web address and API token, then press 'Connect'.","Tafadhali jaza anwani ya wavuti na tokeni ya API, kisha bonyeza 'Unganisha'."
"There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","Kuna chaguo za hali ya juu zaidi za kurekebisha vigezo vya vipengele/kategoria pamoja na kuunda kipengele kipya kutoka kwa kigezo kilichopo au vigezo vipya vyenye msimbo wa R. Chini unaweza kurejesha data asili."
"Text or character to split string by","Maandishi au herufi ya kugawanya mfuatano kwa"
"Split the variable","Gawanya kigezo"
"Variable to split:","Kinachoweza kubadilika hadi kugawanyika:"
"Direction:","Mwelekeo:"
"Split string to multiple columns. Keep number of rows.","Gawanya mfuatano katika safu wima nyingi. Weka idadi ya safu wima."
"Split string to multiple observations (rows) in the same column. Also ads id and instance columns","Gawanya mfuatano katika uchunguzi mwingi (safu) katika safu wima moja. Pia vitambulisho vya matangazo na safu wima za mfano"
"Split character string","Gawanya mfuatano wa herufi"
"Split text","Gawanya maandishi"
"Split a character string by a common delimiter","Gawanya mfuatano wa herufi kwa kitenganishi cha kawaida"
"Select delimiter","Chagua kidhibiti"
"Browse data preview","Vinjari hakikisho la data"
"Original data","Data asili"
"Preview of result","Hakikisho la matokeo"
"No character variables with accepted delimiters detected.","Hakuna vigezo vya herufi vilivyo na vidhibiti vinavyokubalika vilivyogunduliwa."
"Split a text column by a recognised delimiter.","Gawanya safu wima ya maandishi kwa kitenga kinachotambulika."
"Apply split","Tumia mgawanyiko"
"Stacked relative barplot","Kipande cha baruni kilichopangwa kwa mirundiko"
"Create relative stacked barplots to show the distribution of categorical levels","Unda viwanja vya baruni vilivyopangwa ili kuonyesha usambazaji wa viwango vya kategoria"
"Side-by-side barplot","Kipande cha baruni cha kando kwa kando"
"Create side-by-side barplot to show the distribution of categorical levels","Unda mpangilio wa barufa kando ili kuonyesha usambazaji wa viwango vya kategoria"
"Select table theme","Chagua mandhari ya jedwali"
"Level of detail","Kiwango cha maelezo"
"Minimal","Kidogo"
"Extensive","Kina"
"Letters","Barua"
"Words","Maneno"
"Shorten to first letters","Fupisha herufi za kwanza"
"Shorten to first words","Fupisha maneno ya kwanza"
"Missings across variables by the variable **'{input$missings_var}'**","Hazipo katika vigezo kwa kigezo **'{input$missings_var}'**"
"Missing vs non-missing observations in the variable **'{input$missings_var}'**","Uchunguzi unaokosekana dhidi ya usiokosekana katika kigezo **'{input$missings_var}'**"
"Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.","Tathmini upungufu kwa kulinganisha thamani zinazokosekana katika vigezo (hiari zilizopangwa kwa mujibu wa kigezo cha kategoria au cha pande mbili) au linganisha vigezo vilivyopangwa kwa mujibu wa hali inayokosekana (inayokosekana au isiyokosekana) ya kigezo cha matokeo. Ikiwa kuna tofauti kubwa katika upungufu, hii inaweza kusababisha upendeleo katika data yako na inapaswa kuzingatiwa kwa uangalifu kutafsiri data na uchambuzi kwani data inaweza isikosekane bila mpangilio."
"Calculating. Hold tight for a moment..","Kuhesabu. Shikilia kwa muda.."
"Overview of missing observations","Muhtasari wa uchunguzi uliokosekana"
"Analysis method for missingness overview","Mbinu ya uchambuzi wa muhtasari wa kukosekana"
"Overview of missings across variables","Muhtasari wa mambo yanayokosekana katika vigezo"
"Overview of difference in variables by missing status in outcome","Muhtasari wa tofauti katika vigezo kwa kukosa hali katika matokeo"
"Select a variable for grouped overview","Chagua kigezo cha muhtasari wa kikundi"
"Select outcome variable for overview","Chagua kigezo cha matokeo kwa muhtasari"
"No outcome measure chosen","Hakuna kipimo cha matokeo kilichochaguliwa"
"There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.","Kuna tofauti kubwa katika ukosefu wa data katika {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} zilizopangwa kwa mujibu wa kigezo kilichochaguliwa cha matokeo/upangaji {outcome}."
"Include group differences","Jumuisha tofauti za vikundi"
"Error:","Hitilafu:"
"Download table","Pakua jedwali"
"Welcome to FreesearchR","Karibu kwenye FreesearchR"
"A free data analysis tool for clinicians, students, and learners","Zana ya uchambuzi wa data bila malipo kwa madaktari, wanafunzi, na wanafunzi"
"Core Features","Vipengele vya Msingi"
"Import Data","Ingiza Data"
"Data Management","Usimamizi wa Data"
"Filter, modify, and create new variables. Prepare your data efficiently for analysis.","Chuja, rekebisha, na uunde vigeu vipya. Tayarisha data yako kwa ufanisi kwa ajili ya uchambuzi."
"Descriptive Statistics","Takwimu za Maelezo"
"Additional Capabilities","Uwezo wa Ziada"
"Data Visualization","Uonyeshaji wa Data"
"Create simple, clean plots for quick insights and overview","Unda michoro rahisi na safi kwa ajili ya maarifa ya haraka na muhtasari"
"Regression Models","Mifumo ya Urejeshaji"
"Build simple regression models for advanced analysis","Jenga mifumo rahisi ya urejelezaji kwa ajili ya uchambuzi wa hali ya juu"
"Export & Learn","Hamisha na Ujifunze"
"Download Results","Pakua Matokeo"
"Get Modified Data","Pata Data Iliyorekebishwa"
"Reproducible Code","Nambari Inayoweza Kurudiwa"
"Full Documentation","Nyaraka Kamili"
"Share Feedback","Shiriki Maoni"
"Contact Us","Wasiliana Nasi"
"FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org","FreesearchR inapatikana katika lugha nyingi. Ili kukusaidia na tafsiri, tafadhali wasiliana nasi kwa info@freesearchr.org."
"Home","Nyumbani"
"Start with FreesearchR for basic data evaluation and analysis.","Anza na FreesearchR kwa tathmini na uchambuzi wa data ya msingi."
"When you need more advanced tools, you'll be better prepared to use R directly.","Unapohitaji zana za hali ya juu zaidi, utakuwa tayari zaidi kutumia R moja kwa moja."
"(Read more)","(Soma zaidi)"
"Run the FreesearchR app locally when working with sensitive data.","Endesha programu ya FreesearchR ndani ya eneo lako unapofanya kazi na data nyeti."
"Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.","Pakia data kutoka kwa lahajedwali, seva za REDCap, au jaribu na data ya sampuli. Vyanzo vingi vinaungwa mkono kwa unyumbufu wa hali ya juu."
"Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.","Tathmini data kwa kutumia uchambuzi wa maelezo, kagua uhusiano, na uhakiki uchunguzi unaokosekana kwa ufanisi."
"Export results directly to your text editor","Hamisha matokeo moja kwa moja kwenye kihariri chako cha maandishi"
"Save your processed datasets for later","Hifadhi seti zako za data zilizosindikwa kwa ajili ya baadaye"
"Learn and reproduce results in R","Jifunze na uzalishe matokeo katika R"
"When you need more advanced tools, you'll be prepared to use R directly.","Unapohitaji zana za hali ya juu zaidi, utakuwa tayari kutumia R moja kwa moja."
"The app contains a selelct number of features and will guide you through key analyses.","The app contains a selelct number of features and will guide you through key analyses."
"Sort by Levels","Sort by Levels"
"Reorder factor levels","Reorder factor levels" "Reorder factor levels","Reorder factor levels"
"Modify factor levels","Modify factor levels" "Reorder the levels of factor/categorical variables.","Reorder the levels of factor/categorical variables."
"Reorder or rename the levels of factor/categorical variables.","Reorder or rename the levels of factor/categorical variables." "New factor","New factor"
"Create factor/categorical variable from a continous variable (number/date/time).","Create factor/categorical variable from a continous variable (number/date/time)."
"New variable","New variable"
"Create a new variable based on an R-expression.","Create a new variable based on an R-expression."
"Compare modified data to original","Compare modified data to original"
"Raw print of the original vs the modified data.","Raw print of the original vs the modified data."
"Original data:","Data asili:"
"Modified data:","Data iliyobadilishwa:"
"New column name:","New column name:"
"Group calculation by:","Group calculation by:"
"Enter an expression to define new column:","Enter an expression to define new column:"
"Click on a column name to add it to the expression:","Click on a column name to add it to the expression:"
"Create column","Create column"
"New column name cannot be empty","New column name cannot be empty"
"Create a new column","Create a new column"
"Some operations are not allowed","Some operations are not allowed"
"Column added!","Column added!"
"Unique values:","Unique values:"
"Variable to cut:","Variable to cut:"
"Close intervals on the right","Close intervals on the right"
"Include lowest value","Include lowest value"
"Create factor variable","Create factor variable"
"Fixed breaks:","Fixed breaks:"
"Method:","Method:"
"Convert Numeric to Factor","Convert Numeric to Factor"
"Unique:","Unique:"
"Missing:","Missing:"
"Most Common:","Most Common:"
"Min:","Min:"
"Mean:","Mean:"
"Max:","Max:"
"Decimal separator:","Decimal separator:"
"First five rows are shown below:","First five rows are shown below:"
"Imported data","Imported data"
"www/intro.md","www/intro.md"
"Choose your data","Choose your data"
"Upload a file, get data directly from REDCap or use local or sample data.","Upload a file, get data directly from REDCap or use local or sample data."
"Factor variable to reorder:","Factor variable to reorder:"
"Sort by levels","Sort by levels"
"Sort by count","Sort by count"
"Create a new variable (otherwise replaces the one selected)","Create a new variable (otherwise replaces the one selected)"
"Update factor variable","Update factor variable"
"Sort count","Sort count"
"Levels","Levels"
"Count","Count"
"Update levels of a factor","Update levels of a factor"
"Update & select variables","Update & select variables"
"Date format:","Date format:"
"Date to use as origin to convert date/datetime:","Date to use as origin to convert date/datetime:"
"Apply changes","Apply changes"
"No data to display.","No data to display."
"Data successfully updated!","Data successfully updated!"
"You removed {p_out} % of observations.","You removed {p_out} % of observations."
"You removed {p_out} % of variables.","You removed {p_out} % of variables."
"You can import {file_extensions_text} files","You can import {file_extensions_text} files"
"You can choose between these file types:","You can choose between these file types:"
"Rows to skip before reading data:","Rows to skip before reading data:"
"Missing values character(s):","Missing values character(s):"
"if several use a comma (',') to separate them","if several use a comma (',') to separate them"
"Encoding:","Encoding:"
"Upload a file:","Upload a file:"
"Browse...","Browse..."
"Select sheet to import:","Select sheet to import:"
"No file selected.","No file selected."
"Evaluate","Evaluate"
"Visuals","Visuals"
"Regression","Regression"
"Download","Download"
"{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.","{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases."
"Prepare","Prepare"
"At 0, only complete variables are included; at 100, all variables are included.","At 0, only complete variables are included; at 100, all variables are included."
"The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.","The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent."
"No variables have a correlation measure above the threshold.","No variables have a correlation measure above the threshold."
"and","and"
"from each pair","from each pair"
"Only non-text variables are available for plotting. Go the ""Data"" to reclass data to plot.","Only non-text variables are available for plotting. Go the ""Data"" to reclass data to plot."
"Plot","Plot"
"Adjust settings, then press ""Plot"".","Adjust settings, then press ""Plot""."
"Plot height (mm)","Plot height (mm)"
"Plot width (mm)","Plot width (mm)"
"File format","File format"
"Download plot","Download plot"
"Select variable","Select variable"
"Response variable","Response variable"
"Plot type","Plot type"
"Please select","Please select"
"Additional variables","Additional variables"
"Secondary variable","Secondary variable"
"No variable","No variable"
"Grouping variable","Grouping variable"
"No stratification","No stratification"
"Drawing the plot. Hold tight for a moment..","Drawing the plot. Hold tight for a moment.."
"#Plotting\n","#Plotting\n"
"Stacked horizontal bars","Stacked horizontal bars"
"A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars","A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars"
"Violin plot","Violin plot"
"A modern alternative to the classic boxplot to visualise data distribution","A modern alternative to the classic boxplot to visualise data distribution"
"Sankey plot","Sankey plot"
"A way of visualising change between groups","A way of visualising change between groups"
"Scatter plot","Scatter plot"
"A classic way of showing the association between to variables","A classic way of showing the association between to variables"
"Box plot","Box plot"
"A classic way to plot data distribution by groups","A classic way to plot data distribution by groups"
"Euler diagram","Euler diagram"
"Generate area-proportional Euler diagrams to display set relationships","Generate area-proportional Euler diagrams to display set relationships"
"Documentation","Documentation"
"Data is only stored for analyses and deleted when the app is closed.","Data is only stored for analyses and deleted when the app is closed."
"Feedback","Feedback"
"License: AGPLv3","License: AGPLv3"
"Source","Source"
"Data includes {n_pairs} pairs of highly correlated variables.","Data includes {n_pairs} pairs of highly correlated variables."
"Create plot","Create plot"
"Coefficients plot","Coefficients plot"
"Checks","Checks"
"Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters.","Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters."
"Browse observations","Browse observations"
"Settings","Settings"
"The following error occured on determining correlations:","The following error occured on determining correlations:"
"We encountered the following error creating your report:","We encountered the following error creating your report:"
"No missing observations","No missing observations"
"There is a total of {p_miss} % missing observations.","There is a total of {p_miss} % missing observations."
"Median:","Median:"
"Restore original data","Restore original data"
"Reset to original imported dataset. Careful! There is no un-doing.","Reset to original imported dataset. Careful! There is no un-doing."
"Characteristics","Characteristics"
"Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.","Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list."
"Compare strata?","Compare strata?"
"Correlations","Correlations"
"To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.","To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'."
"Correlation cut-off","Correlation cut-off"
"Set the cut-off for considered 'highly correlated'.","Set the cut-off for considered 'highly correlated'."
"Missings","Missings"
"Class","Class"
"Observations","Observations"
"Data classes and missing observations","Data classes and missing observations"
"Sure you want to reset data? This cannot be undone.","Sure you want to reset data? This cannot be undone."
"Cancel","Cancel"
"Confirm","Confirm"
"The filtered data","The filtered data"
"Create new factor","Create new factor"
"This window is aimed at advanced users and require some *R*-experience!","This window is aimed at advanced users and require some *R*-experience!"
"Create new variables","Create new variables"
"Select data types to include","Select data types to include"
"Uploaded data overview","Uploaded data overview"
"Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.","Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias."
"Specify covariables","Specify covariables"
"If none are selected, all are included.","If none are selected, all are included."
"Analyse","Analyse"
"Working...","Working..."
"Press 'Analyse' to create the regression model and after changing parameters.","Press 'Analyse' to create the regression model and after changing parameters."
"Show p-value","Show p-value"
"Model checks","Model checks"
"Please confirm data reset!","Please confirm data reset!"
"Import data from REDCap","Import data from REDCap"
"REDCap server","REDCap server"
"Web address","Web address"
"Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'","Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'"
"API token","API token"
"The token is a string of 32 numbers and letters.","The token is a string of 32 numbers and letters."
"Connect","Connect"
"Data import parameters","Data import parameters"
"Select fields/variables to import and click the funnel to apply optional filters","Select fields/variables to import and click the funnel to apply optional filters"
"Import","Import"
"Click to see data dictionary","Click to see data dictionary"
"Connected to server!","Connected to server!"
"The {data_rv$info$project_title} project is loaded.","The {data_rv$info$project_title} project is loaded."
"Data dictionary","Data dictionary"
"Preview:","Preview:"
"Imported data set","Imported data set"
"Select fields/variables to import:","Select fields/variables to import:"
"Specify the data format","Specify the data format"
"Fill missing values?","Fill missing values?"
"Requested data was retrieved!","Requested data was retrieved!"
"Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access."
"Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access."
"Click to see the imported data","Click to see the imported data"
"Regression table","Regression table"
"Import a dataset from an environment","Import a dataset from an environment"
"Select a dataset:","Select a dataset:"
"List of datasets...","List of datasets..."
"No data selected!","No data selected!"
"No dataset here...","No dataset here..."
"Use a dataset from your environment or from the environment of a package.","Use a dataset from your environment or from the environment of a package."
"Not a data.frame","Not a data.frame"
"Select source","Select source"
"Select a data source:","Select a data source:"
"Yes","Yes"
"No","No"
"Coefficient plot","Coefficient plot"
"Select outcome variable","Select outcome variable"
"Choose regression analysis","Choose regression analysis"
"Covariables to format as categorical","Covariables to format as categorical"
"Select variable to stratify baseline","Select variable to stratify baseline"
"Select models to plot","Select models to plot"
"Creating regression models failed with the following error:","Creating regression models failed with the following error:"
"Creating a regression table failed with the following error:","Creating a regression table failed with the following error:"
"Saving the plot. Hold on for a moment..","Saving the plot. Hold on for a moment.."
"Running model assumptions checks failed with the following error:","Running model assumptions checks failed with the following error:"
"Select checks to plot","Select checks to plot"
"Multivariable regression model checks","Multivariable regression model checks"
"Grouped by {get_label(data,ter)}","Grouped by {get_label(data,ter)}"
"Option to perform statistical comparisons between strata in baseline table.","Option to perform statistical comparisons between strata in baseline table."
"Press 'Evaluate' to create the comparison table.","Press 'Evaluate' to create the comparison table."
"The data includes {n_col} variables. Please limit to 100.","The data includes {n_col} variables. Please limit to 100."
"Data import","Data import"
"Data import formatting","Data import formatting"
"Data modifications","Data modifications"
"Variables filter","Variables filter"
"Data filter","Data filter"
"Data characteristics table","Data characteristics table"
"The dataset without text variables","The dataset without text variables"
"Creating the table. Hold on for a moment..","Creating the table. Hold on for a moment.."
"Generating the report. Hold on for a moment..","Generating the report. Hold on for a moment.."
"We encountered the following error showing missingness:","We encountered the following error showing missingness:"
"We encountered the following error browsing your data:","We encountered the following error browsing your data:"
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything."
"Other","Other"
"Hour of the day","Hour of the day"
"Breaks","Breaks"
"By day of the week","By day of the week"
"By weekday","By weekday"
"By week number and year","By week number and year"
"By week number","By week number"
"By month and year","By month and year"
"By month only","By month only"
"By quarter of the year","By quarter of the year"
"By year","By year"
"Keep only most common","Keep only most common"
"Number","Number"
"Combine below percentage","Combine below percentage"
"Percentage","Percentage"
"By specified numbers","By specified numbers"
"By quantiles (groups of equal size)","By quantiles (groups of equal size)"
"Please fill in web address and API token, then press 'Connect'.","Please fill in web address and API token, then press 'Connect'."
"There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data."
"Text or character to split string by","Text or character to split string by"
"Split the variable","Split the variable"
"Variable to split:","Variable to split:"
"Direction:","Direction:"
"Split string to multiple columns. Keep number of rows.","Split string to multiple columns. Keep number of rows."
"Split string to multiple observations (rows) in the same column. Also ads id and instance columns","Split string to multiple observations (rows) in the same column. Also ads id and instance columns"
"Split character string","Split character string"
"Split text","Split text"
"Split a character string by a common delimiter","Split a character string by a common delimiter"
"Select delimiter","Select delimiter"
"Browse data preview","Browse data preview"
"Original data","Original data"
"Preview of result","Preview of result"
"No character variables with accepted delimiters detected.","No character variables with accepted delimiters detected."
"Split a text column by a recognised delimiter.","Split a text column by a recognised delimiter."
"Apply split","Apply split"
"Stacked relative barplot","Stacked relative barplot"
"Create relative stacked barplots to show the distribution of categorical levels","Create relative stacked barplots to show the distribution of categorical levels"
"Side-by-side barplot","Side-by-side barplot"
"Create side-by-side barplot to show the distribution of categorical levels","Create side-by-side barplot to show the distribution of categorical levels"
"Select table theme","Select table theme"
"Level of detail","Level of detail"
"Minimal","Minimal"
"Extensive","Extensive"
"Letters","Letters"
"Words","Words"
"Shorten to first letters","Shorten to first letters"
"Shorten to first words","Shorten to first words"
"Missings across variables by the variable **'{input$missings_var}'**","Missings across variables by the variable **'{input$missings_var}'**"
"Missing vs non-missing observations in the variable **'{input$missings_var}'**","Missing vs non-missing observations in the variable **'{input$missings_var}'**"
"Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.","Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random."
"Calculating. Hold tight for a moment..","Calculating. Hold tight for a moment.."
"Overview of missing observations","Overview of missing observations"
"Analysis method for missingness overview","Analysis method for missingness overview"
"Overview of missings across variables","Overview of missings across variables"
"Overview of difference in variables by missing status in outcome","Overview of difference in variables by missing status in outcome"
"Select a variable for grouped overview","Select a variable for grouped overview"
"Select outcome variable for overview","Select outcome variable for overview"
"No outcome measure chosen","No outcome measure chosen"
"There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.","There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}."
"Include group differences","Include group differences"
"Error:","Error:"
"Download table","Download table"
"Welcome to FreesearchR","Welcome to FreesearchR"
"A free data analysis tool for clinicians, students, and learners","A free data analysis tool for clinicians, students, and learners"
"Core Features","Core Features"
"Import Data","Import Data"
"Data Management","Data Management"
"Filter, modify, and create new variables. Prepare your data efficiently for analysis.","Filter, modify, and create new variables. Prepare your data efficiently for analysis."
"Descriptive Statistics","Descriptive Statistics"
"Additional Capabilities","Additional Capabilities"
"Data Visualization","Data Visualization"
"Create simple, clean plots for quick insights and overview","Create simple, clean plots for quick insights and overview"
"Regression Models","Regression Models"
"Build simple regression models for advanced analysis","Build simple regression models for advanced analysis"
"Export & Learn","Export & Learn"
"Download Results","Download Results"
"Get Modified Data","Get Modified Data"
"Reproducible Code","Reproducible Code"
"Full Documentation","Full Documentation"
"Share Feedback","Share Feedback"
"Contact Us","Contact Us"
"FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org","FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org"
"Home","Home"
"Start with FreesearchR for basic data evaluation and analysis.","Start with FreesearchR for basic data evaluation and analysis."
"When you need more advanced tools, you'll be better prepared to use R directly.","When you need more advanced tools, you'll be better prepared to use R directly."
"(Read more)","(Read more)"
"Run the FreesearchR app locally when working with sensitive data.","Run the FreesearchR app locally when working with sensitive data."
"Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.","Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility."
"Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.","Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively."
"Export results directly to your text editor","Export results directly to your text editor"
"Save your processed datasets for later","Save your processed datasets for later"
"Learn and reproduce results in R","Learn and reproduce results in R"
"When you need more advanced tools, you'll be prepared to use R directly.","When you need more advanced tools, you'll be prepared to use R directly."

1 en sw
2 Hello Habari
3 Get started Tuanze! Tuanze
4 File upload Upakiaji wa faili
5 REDCap server export Usafirishaji wa seva ya REDCap Uhamishaji wa seva ya REDCap
6 Local or sample data Data ya ndani au ya sampuli Taarifa za ndani au za mfano
7 Please be mindfull handling sensitive data Tafadhali kuwa mwangalifu kushughulikia data nyeti Tafadhali kumbuka kushughulikia data nyeti
8 The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine). Programu ya ***FreesearchR*** huhifadhi data kwa ajili ya uchambuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani. [Soma zaidi hapa](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine). Programu ya ***FreesearchR*** huhifadhi data kwa uchanganuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani ya nchi. [Soma zaidi hapa](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).
9 Quick overview Muhtasari wa haraka
10 Select variables for final import Chagua vigezo vya kuingiza mwisho Chagua vigeu kwa ajili ya uingizaji wa mwisho
11 Exclude incomplete variables: Ondoa vigezo visivyokamilika: Usijumuishe vigeu visivyokamilika:
12 Manual selection: Uchaguzi wa mikono:
13 Let's begin! Tuanze!
14 Analysis validation Uthibitisho wa uchambuzi Uthibitishaji wa uchambuzi
15 Report Ripoti
16 Choose your favourite output file format for further work, and download, when the analyses are done. Chagua umbizo la faili ya matokeo unayopenda kwa kazi zaidi, na upakue, uchambuzi utakapokamilika. Chagua umbizo la faili la towe lako kwa kazi zaidi, na upakue, uchanganuzi utakapofanywa.
17 www/intro.html www/utangulizi.html www/intro_sw.html
18 <p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p> <p>Programu ya <em><strong>FreesearchR</strong></em> huhifadhi data kwa ajili ya uchambuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Soma zaidi hapa</a></p> <p>Programu ya <em><strong>FreesearchR</strong></em> huhifadhi data kwa ajili ya uchanganuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani ya nchi. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Soma zaidi hapa</a></p>
19 Overview and filter Muhtasari na kichujio Muhtasari na chujio
20 Overview and filtering Muhtasari na uchujaji
21 Visual overview Muhtasari wa kuona
22 Filter data types Chuja aina za data
23 Filter observations Uchunguzi wa vichujio Chuja uchunguzi
24 Apply filter on observation Tumia kichujio wakati wa uchunguzi Tumia kichujio unapotazama
25 Edit and create data Hariri na uunde data Edit and create data
26 Subset, rename and convert variables Weka sehemu ndogo, badilisha jina na ubadilishe vigezo Subset, rename and convert variables
27 Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.). Hapa chini, kuna chaguo kadhaa za urekebishaji rahisi wa data kama vile kusasisha vigezo kwa kubadilisha majina, kuunda lebo mpya (kwa majedwali mazuri zaidi katika ripoti) na kubadilisha madarasa ya vigezo (nambari, vipengele/kategoria n.k.). Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).
28 Please note that data modifications are applied before any filtering. Tafadhali kumbuka kwamba marekebisho ya data hutumika kabla ya kuchuja yoyote. Please note that data modifications are applied before any filtering.
29 Advanced data manipulation Udhibiti wa data wa hali ya juu Advanced data manipulation
30 Below options allow more advanced varaible manipulations. Chaguzi zilizo hapa chini huruhusu udanganyifu wa hali ya juu zaidi unaoweza kubadilika. Below options allow more advanced varaible manipulations.
New factor Kipengele kipya
Create factor/categorical variable from a continous variable (number/date/time). Unda kigezo cha kipengele/kitengo kutoka kwa kigezo endelevu (nambari/tarehe/saa).
New variable Kigezo kipya
Create a new variable based on an R-expression. Unda kigezo kipya kulingana na usemi wa R.
Compare modified data to original Linganisha data iliyobadilishwa na ya asili
Raw print of the original vs the modified data. Chapisho ghafi la data asili dhidi ya data iliyorekebishwa.
Original data: Data asilia:
Modified data: Data iliyorekebishwa:
New column name: Jina jipya la safu wima:
Group calculation by: Hesabu ya kikundi kwa:
Enter an expression to define new column: Ingiza usemi ili kufafanua safu wima mpya:
Click on a column name to add it to the expression: Bofya jina la safu wima ili kuliongeza kwenye usemi:
Create column Unda safu wima
New column name cannot be empty Jina jipya la safu wima haliwezi kuwa tupu
Create a new column Unda safu wima mpya
Some operations are not allowed Baadhi ya shughuli haziruhusiwi
Column added! Safu wima imeongezwa!
Unique values: Thamani za kipekee:
Variable to cut: Inaweza kubadilishwa kwa kukata:
Close intervals on the right Funga vipindi upande wa kulia
Include lowest value Jumuisha thamani ya chini kabisa
Create factor variable Unda kigezo cha vipengele
Fixed breaks: Mapumziko yasiyobadilika:
Method: Mbinu:
Convert Numeric to Factor Badilisha Nambari kuwa Kipengele
Unique: Kipekee:
Missing: Haipo:
Most Common: Ya Kawaida Zaidi:
Min: Kiwango cha chini:
Mean: Wastani:
Max: Kiwango cha juu zaidi:
Decimal separator: Kitenganishi cha desimali:
First five rows are shown below: Safu tano za kwanza zinaonyeshwa hapa chini:
Imported data Data iliyoingizwa
www/intro.md www/intro.md
Choose your data Chagua data yako
Upload a file, get data directly from REDCap or use local or sample data. Pakia faili, pata data moja kwa moja kutoka REDCap au tumia data ya ndani au sampuli.
Factor variable to reorder: Kigezo cha vipengele ili kupanga upya:
Sort by levels Panga kwa viwango
Sort by count Panga kwa hesabu
Create a new variable (otherwise replaces the one selected) Unda kigezo kipya (vinginevyo kinachukua nafasi ya kile kilichochaguliwa)
Update factor variable Sasisha kigezo cha kipengele
Levels Viwango
Count Hesabu
Update levels of a factor Sasisha viwango vya kipengele
Update & select variables Sasisha na uchague vigezo
Date format: Muundo wa tarehe:
Date to use as origin to convert date/datetime: Tarehe ya kutumia kama asili ya kubadilisha tarehe/tarehe:
Apply changes Tumia mabadiliko
No data to display. Hakuna data ya kuonyesha.
Data successfully updated! Data imesasishwa kwa mafanikio!
You removed {p_out} % of observations. Umeondoa {p_out} % ya uchunguzi.
You removed {p_out} % of variables. Umeondoa {p_out} % ya vigezo.
You can import {file_extensions_text} files Unaweza kuingiza faili za {file_extensions_text}
You can choose between these file types: Unaweza kuchagua kati ya aina hizi za faili:
Rows to skip before reading data: Safu za kuruka kabla ya kusoma data:
Missing values character(s): Herufi za thamani zinazokosekana:
if several use a comma (',') to separate them ikiwa kadhaa hutumia koma (',') kuwatenganisha
Encoding: Usimbaji:
Upload a file: Pakia faili:
Browse... Vinjari...
Select sheet to import: Chagua laha ya kuingiza:
No file selected. Hakuna faili iliyochaguliwa.
Evaluate Tathmini
Visuals Picha
Regression Urejeshaji
Download Pakua
{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases. {data_text} ina uchunguzi wa {n} na vigezo vya {n_var}, pamoja na visa kamili vya {n_complete} ({p_complete}%).
Prepare Tayarisha
At 0, only complete variables are included; at 100, all variables are included. Katika 0, ni vigezo kamili pekee vilivyojumuishwa; katika 100, vigezo vyote vimejumuishwa.
The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent. Jozi zifuatazo za vigeu zina uhusiano wa hali ya juu: {sentence_paste(.x,and_str)}.\nFikiria kutenga moja {zaidi} kutoka kwenye seti ya data ili kuhakikisha vigeu vinajitegemea.
No variables have a correlation measure above the threshold. Hakuna vigezo vyenye kipimo cha uhusiano kilicho juu ya kizingiti.
and na
from each pair kutoka kwa kila jozi
Only non-text variables are available for plotting. Go the "Data" to reclass data to plot. Vigezo visivyo vya maandishi pekee ndivyo vinavyopatikana kwa ajili ya kupanga. Nenda kwenye "Data" ili kupanga upya data ili kupanga.
Plot Kipande cha habari
Adjust settings, then press "Plot". Rekebisha mipangilio, kisha bonyeza "Plot".
Plot height (mm) Urefu wa kiwanja (mm)
Plot width (mm) Upana wa kiwanja (mm)
File format Umbizo la faili
Download plot Pakua njama
Select variable Chagua kigezo
Response variable Kigezo cha majibu
Plot type Aina ya kiwanja
Please select Tafadhali chagua
Additional variables Vigezo vya ziada
Secondary variable Kigezo cha pili
No variable Hakuna kigezo
Grouping variable Kigezo cha kuweka katika makundi
No stratification Hakuna matabaka
Drawing the plot. Hold tight for a moment.. Kuchora njama. Shikilia kwa muda..
#Plotting\n #Upangaji\n
Stacked horizontal bars Pau za mlalo zilizopangwa kwa mpangilio
A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars Njia ya kitamaduni ya kuibua usambazaji wa mizani ya kawaida kama vile Mizani ya Nafasi iliyorekebishwa na inayojulikana kama baa za Grotta
Violin plot Hadithi ya violin
A modern alternative to the classic boxplot to visualise data distribution Njia mbadala ya kisasa ya mpangilio wa kisanduku wa kawaida ili kuibua usambazaji wa data
Sankey plot Njama ya Sankey
A way of visualising change between groups Njia ya kuibua mabadiliko kati ya vikundi
Scatter plot Njama ya kutawanya
A classic way of showing the association between to variables Njia ya kawaida ya kuonyesha uhusiano kati ya vigezo
Box plot Kipande cha sanduku
A classic way to plot data distribution by groups Njia ya kawaida ya kupanga usambazaji wa data kwa vikundi
Euler diagram Mchoro wa Euler
Generate area-proportional Euler diagrams to display set relationships Tengeneza michoro ya Euler inayolingana na eneo ili kuonyesha uhusiano uliowekwa
Documentation Nyaraka
Data is only stored for analyses and deleted when the app is closed. Data huhifadhiwa kwa ajili ya uchambuzi na kufutwa tu wakati programu imefungwa.
Feedback Maoni
License: AGPLv3 Leseni: AGPLv3
Source Chanzo
Data includes {n_pairs} pairs of highly correlated variables. Data inajumuisha jozi {n_pairs} za vigeu vinavyohusiana sana.
Create plot Unda njama
Coefficients plot Mchoro wa viambato
Checks Hundi
Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters. Hapa chini kuna jedwali la muhtasari kwa ajili ya ufahamu wa haraka, na upande wa kulia unaweza kuibua madarasa ya data, kuvinjari uchunguzi na kutumia vichujio tofauti vya data.
Browse observations Vinjari uchunguzi
Settings Mipangilio
The following error occured on determining correlations: Hitilafu ifuatayo ilitokea katika kubaini uhusiano:
We encountered the following error creating your report: Tulikutana na hitilafu ifuatayo katika kuunda ripoti yako:
No missing observations Hakuna uchunguzi unaokosekana
There is a total of {p_miss} % missing observations. Kuna jumla ya uchunguzi wa {p_miss}% unaokosekana.
Median: Wastani:
Restore original data Rejesha data asili
Reset to original imported dataset. Careful! There is no un-doing. Rudisha kwenye seti ya data asili iliyoingizwa. Kuwa mwangalifu! Hakuna kutengua.
Characteristics Sifa
Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list. Vigezo vya vipengele/kategoria pekee ndivyo vinavyopatikana kwa ajili ya uainishaji wa tabaka. Rudi kwenye kichupo cha 'Tayarisha' ili kupanga upya kigezo ikiwa hakipo kwenye orodha.
Compare strata? Linganisha tabaka?
Correlations Uhusiano
To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'. Ili kuepuka kutathmini uhusiano wa kigezo cha matokeo, hii inaweza kutengwa kwenye njama au kuchagua 'hakuna'.
Correlation cut-off Kikomo cha uhusiano
Set the cut-off for considered 'highly correlated'. Weka kikomo cha 'kinachohusiana sana'.
Missings Hazipo
Class Darasa
Observations Uchunguzi
Data classes and missing observations Madarasa ya data na uchunguzi unaokosekana
Sure you want to reset data? This cannot be undone. Una uhakika unataka kuweka upya data? Hii haiwezi kutenduliwa.
Cancel Ghairi
Confirm Thibitisha
The filtered data Data iliyochujwa
Create new factor Unda kipengele kipya
This window is aimed at advanced users and require some *R*-experience! Dirisha hili linalenga watumiaji wa hali ya juu na linahitaji uzoefu wa *R*!
Create new variables Unda vigezo vipya
Select data types to include Chagua aina za data za kujumuisha
Uploaded data overview Muhtasari wa data iliyopakiwa
Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias. Hapa kuna muhtasari wa jinsi data yako inavyotafsiriwa, na mahali ambapo data inakosekana. Tumia taarifa hii kuzingatia ikiwa data inakosekana bila mpangilio au ikiwa baadhi ya uchunguzi unakosekana kimfumo ambao unaweza kusababishwa na upendeleo wa uchunguzi.
Specify covariables Bainisha vigeu vinavyoweza kuunganishwa
If none are selected, all are included. Ikiwa hakuna aliyechaguliwa, wote wamejumuishwa.
Analyse Changanua
Working... Inafanya kazi...
Press 'Analyse' to create the regression model and after changing parameters. Bonyeza 'Changanua' ili kuunda modeli ya urejeshaji na baada ya kubadilisha vigezo.
Show p-value Onyesha thamani ya p
Model checks Ukaguzi wa modeli
Please confirm data reset! Tafadhali thibitisha urejeshaji wa data!
Import data from REDCap Ingiza data kutoka REDCap
REDCap server Seva ya REDCap
Web address Anwani ya wavuti
Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/' Muundo unapaswa kuwa 'https://redcap.your.institution/' au 'https://your.institution/redcap/'
API token Tokeni ya API
The token is a string of 32 numbers and letters. Tokeni ni mfuatano wa nambari na herufi 32.
Connect Unganisha
Data import parameters Vigezo vya kuingiza data
Select fields/variables to import and click the funnel to apply optional filters Chagua sehemu/vigezo vya kuingiza na ubofye faneli ili kutumia vichujio vya hiari
Import Ingiza
Click to see data dictionary Bofya ili kuona kamusi ya data
Connected to server! Imeunganishwa na seva!
The {data_rv$info$project_title} project is loaded. Mradi wa {data_rv$info$project_title} umepakiwa.
Data dictionary Kamusi ya data
Preview: Hakikisho:
Imported data set Seti ya data iliyoingizwa
Select fields/variables to import: Chagua sehemu/vigezo vya kuingiza:
Specify the data format Bainisha umbizo la data
Fill missing values? Jaza thamani zinazokosekana?
Requested data was retrieved! Data iliyoombwa ilipatikana!
Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data imerejeshwa, lakini inaonekana ni kitambulisho pekee kilichorejeshwa kutoka kwa seva. Tafadhali wasiliana na msimamizi wako wa REDCap kama una ruhusa zinazohitajika kwa ufikiaji wa data.
Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data imerejeshwa, lakini inaonekana kama si sehemu zote zilizoombwa zilizorejeshwa kutoka kwa seva. Tafadhali wasiliana na msimamizi wako wa REDCap kama una ruhusa zinazohitajika kwa ufikiaji wa data.
Click to see the imported data Bofya ili kuona data iliyoingizwa
Regression table Jedwali la urejeshaji
Import a dataset from an environment Ingiza seti ya data kutoka kwa mazingira
Select a dataset: Chagua seti ya data:
List of datasets... Orodha ya seti za data...
No data selected! Hakuna data iliyochaguliwa!
No dataset here... Hakuna seti ya data hapa...
Use a dataset from your environment or from the environment of a package. Tumia seti ya data kutoka kwa mazingira yako au kutoka kwa mazingira ya kifurushi.
Not a data.frame Sio data.frame
Select source Chagua chanzo
Select a data source: Chagua chanzo cha data:
Yes Ndiyo
No Hapana
Coefficient plot Mchoro wa mgawo
Select outcome variable Chagua kigezo cha matokeo
Choose regression analysis Chagua uchanganuzi wa marejeleo
Covariables to format as categorical Vigezo vinavyoweza kubadilishwa ili viundwe kama vya kategoria
Select variable to stratify baseline Chagua kigezo ili kuweka tabaka la msingi
Select models to plot Chagua mifano ya kuchora
Creating regression models failed with the following error: Kuunda mifumo ya urejeshaji kumeshindwa kutokana na hitilafu ifuatayo:
Creating a regression table failed with the following error: Kuunda jedwali la urejelezaji kulishindwa kutokana na hitilafu ifuatayo:
Saving the plot. Hold on for a moment.. Kuhifadhi njama. Subiri kwa muda..
Running model assumptions checks failed with the following error: Kuendesha ukaguzi wa mawazo ya modeli kulishindwa na hitilafu ifuatayo:
Select checks to plot Chagua ukaguzi wa kupanga
Multivariable regression model checks Ukaguzi wa modeli ya urejeshaji unaoweza kubadilika-badilika
Grouped by {get_label(data,ter)} Imepangwa kwa makundi kulingana na {get_label(data,ter)}
Option to perform statistical comparisons between strata in baseline table. Chaguo la kufanya ulinganisho wa takwimu kati ya tabaka katika jedwali la msingi.
Press 'Evaluate' to create the comparison table. Bonyeza 'Tathmini' ili kuunda jedwali la kulinganisha.
The data includes {n_col} variables. Please limit to 100. Data inajumuisha vigezo vya {n_col}. Tafadhali punguza hadi 100.
Data import Uingizaji wa data
Data import formatting Uumbizaji wa kuingiza data
Data modifications Marekebisho ya data
Variables filter Kichujio cha vigeugeu
Data filter Kichujio cha data
Data characteristics table Jedwali la sifa za data
The dataset without text variables Seti ya data bila vigeu vya maandishi
Creating the table. Hold on for a moment.. Kutengeneza meza. Subiri kwa muda..
Generating the report. Hold on for a moment.. Inazalisha ripoti. Subiri kidogo..
We encountered the following error showing missingness: Tulikutana na hitilafu ifuatayo inayoonyesha ukosefu:
We encountered the following error browsing your data: Tulipata hitilafu ifuatayo wakati wa kuvinjari data yako:
Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything. Chagua jina la safu wima itakayoundwa au kurekebishwa, kisha ingiza usemi kabla ya kubofya kitufe kilicho hapa chini ili kuunda kigezo, au ghairi ili kutoka bila kuhifadhi chochote.
Other Nyingine
Hour of the day Saa ya siku
Breaks Mapumziko
By day of the week Kwa siku ya wiki
By weekday Kufikia siku ya wiki
By week number and year Kwa idadi ya wiki na mwaka
By week number Kwa nambari ya wiki
By month and year Kwa mwezi na mwaka
By month only Kwa mwezi pekee
By quarter of the year Kufikia robo ya mwaka
By year Kwa mwaka
Keep only most common Weka pekee ya kawaida
Number Nambari
Combine below percentage Changanya chini ya asilimia
Percentage Asilimia
By specified numbers Kwa nambari zilizoainishwa
By quantiles (groups of equal size) Kwa quantiles (vikundi vya ukubwa sawa)
Please fill in web address and API token, then press 'Connect'. Tafadhali jaza anwani ya wavuti na tokeni ya API, kisha bonyeza 'Unganisha'.
There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data. Kuna chaguo za hali ya juu zaidi za kurekebisha vigezo vya vipengele/kategoria pamoja na kuunda kipengele kipya kutoka kwa kigezo kilichopo au vigezo vipya vyenye msimbo wa R. Chini unaweza kurejesha data asili.
Text or character to split string by Maandishi au herufi ya kugawanya mfuatano kwa
Split the variable Gawanya kigezo
Variable to split: Kinachoweza kubadilika hadi kugawanyika:
Direction: Mwelekeo:
Split string to multiple columns. Keep number of rows. Gawanya mfuatano katika safu wima nyingi. Weka idadi ya safu wima.
Split string to multiple observations (rows) in the same column. Also ads id and instance columns Gawanya mfuatano katika uchunguzi mwingi (safu) katika safu wima moja. Pia vitambulisho vya matangazo na safu wima za mfano
Split character string Gawanya mfuatano wa herufi
Split text Gawanya maandishi
Split a character string by a common delimiter Gawanya mfuatano wa herufi kwa kitenganishi cha kawaida
Select delimiter Chagua kidhibiti
Browse data preview Vinjari hakikisho la data
Original data Data asili
Preview of result Hakikisho la matokeo
No character variables with accepted delimiters detected. Hakuna vigezo vya herufi vilivyo na vidhibiti vinavyokubalika vilivyogunduliwa.
Split a text column by a recognised delimiter. Gawanya safu wima ya maandishi kwa kitenga kinachotambulika.
Apply split Tumia mgawanyiko
Stacked relative barplot Kipande cha baruni kilichopangwa kwa mirundiko
Create relative stacked barplots to show the distribution of categorical levels Unda viwanja vya baruni vilivyopangwa ili kuonyesha usambazaji wa viwango vya kategoria
Side-by-side barplot Kipande cha baruni cha kando kwa kando
Create side-by-side barplot to show the distribution of categorical levels Unda mpangilio wa barufa kando ili kuonyesha usambazaji wa viwango vya kategoria
Select table theme Chagua mandhari ya jedwali
Level of detail Kiwango cha maelezo
Minimal Kidogo
Extensive Kina
Letters Barua
Words Maneno
Shorten to first letters Fupisha herufi za kwanza
Shorten to first words Fupisha maneno ya kwanza
Missings across variables by the variable **'{input$missings_var}'** Hazipo katika vigezo kwa kigezo **'{input$missings_var}'**
Missing vs non-missing observations in the variable **'{input$missings_var}'** Uchunguzi unaokosekana dhidi ya usiokosekana katika kigezo **'{input$missings_var}'**
Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random. Tathmini upungufu kwa kulinganisha thamani zinazokosekana katika vigezo (hiari zilizopangwa kwa mujibu wa kigezo cha kategoria au cha pande mbili) au linganisha vigezo vilivyopangwa kwa mujibu wa hali inayokosekana (inayokosekana au isiyokosekana) ya kigezo cha matokeo. Ikiwa kuna tofauti kubwa katika upungufu, hii inaweza kusababisha upendeleo katika data yako na inapaswa kuzingatiwa kwa uangalifu kutafsiri data na uchambuzi kwani data inaweza isikosekane bila mpangilio.
Calculating. Hold tight for a moment.. Kuhesabu. Shikilia kwa muda..
Overview of missing observations Muhtasari wa uchunguzi uliokosekana
Analysis method for missingness overview Mbinu ya uchambuzi wa muhtasari wa kukosekana
Overview of missings across variables Muhtasari wa mambo yanayokosekana katika vigezo
Overview of difference in variables by missing status in outcome Muhtasari wa tofauti katika vigezo kwa kukosa hali katika matokeo
Select a variable for grouped overview Chagua kigezo cha muhtasari wa kikundi
Select outcome variable for overview Chagua kigezo cha matokeo kwa muhtasari
No outcome measure chosen Hakuna kipimo cha matokeo kilichochaguliwa
There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}. Kuna tofauti kubwa katika ukosefu wa data katika {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} zilizopangwa kwa mujibu wa kigezo kilichochaguliwa cha matokeo/upangaji {outcome}.
Include group differences Jumuisha tofauti za vikundi
Error: Hitilafu:
Download table Pakua jedwali
Welcome to FreesearchR Karibu kwenye FreesearchR
A free data analysis tool for clinicians, students, and learners Zana ya uchambuzi wa data bila malipo kwa madaktari, wanafunzi, na wanafunzi
Core Features Vipengele vya Msingi
Import Data Ingiza Data
Data Management Usimamizi wa Data
Filter, modify, and create new variables. Prepare your data efficiently for analysis. Chuja, rekebisha, na uunde vigeu vipya. Tayarisha data yako kwa ufanisi kwa ajili ya uchambuzi.
Descriptive Statistics Takwimu za Maelezo
Additional Capabilities Uwezo wa Ziada
Data Visualization Uonyeshaji wa Data
Create simple, clean plots for quick insights and overview Unda michoro rahisi na safi kwa ajili ya maarifa ya haraka na muhtasari
Regression Models Mifumo ya Urejeshaji
Build simple regression models for advanced analysis Jenga mifumo rahisi ya urejelezaji kwa ajili ya uchambuzi wa hali ya juu
Export & Learn Hamisha na Ujifunze
Download Results Pakua Matokeo
Get Modified Data Pata Data Iliyorekebishwa
Reproducible Code Nambari Inayoweza Kurudiwa
Full Documentation Nyaraka Kamili
Share Feedback Shiriki Maoni
Contact Us Wasiliana Nasi
FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org FreesearchR inapatikana katika lugha nyingi. Ili kukusaidia na tafsiri, tafadhali wasiliana nasi kwa info@freesearchr.org.
Home Nyumbani
Start with FreesearchR for basic data evaluation and analysis. Anza na FreesearchR kwa tathmini na uchambuzi wa data ya msingi.
When you need more advanced tools, you'll be better prepared to use R directly. Unapohitaji zana za hali ya juu zaidi, utakuwa tayari zaidi kutumia R moja kwa moja.
(Read more) (Soma zaidi)
Run the FreesearchR app locally when working with sensitive data. Endesha programu ya FreesearchR ndani ya eneo lako unapofanya kazi na data nyeti.
Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility. Pakia data kutoka kwa lahajedwali, seva za REDCap, au jaribu na data ya sampuli. Vyanzo vingi vinaungwa mkono kwa unyumbufu wa hali ya juu.
Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively. Tathmini data kwa kutumia uchambuzi wa maelezo, kagua uhusiano, na uhakiki uchunguzi unaokosekana kwa ufanisi.
Export results directly to your text editor Hamisha matokeo moja kwa moja kwenye kihariri chako cha maandishi
Save your processed datasets for later Hifadhi seti zako za data zilizosindikwa kwa ajili ya baadaye
Learn and reproduce results in R Jifunze na uzalishe matokeo katika R
When you need more advanced tools, you'll be prepared to use R directly. Unapohitaji zana za hali ya juu zaidi, utakuwa tayari kutumia R moja kwa moja.
The app contains a selelct number of features and will guide you through key analyses. The app contains a selelct number of features and will guide you through key analyses.
Sort by Levels Sort by Levels
31 Reorder factor levels Reorder factor levels
32 Modify factor levels Reorder the levels of factor/categorical variables. Modify factor levels Reorder the levels of factor/categorical variables.
33 Reorder or rename the levels of factor/categorical variables. New factor Reorder or rename the levels of factor/categorical variables. New factor
34 Create factor/categorical variable from a continous variable (number/date/time). Create factor/categorical variable from a continous variable (number/date/time).
35 New variable New variable
36 Create a new variable based on an R-expression. Create a new variable based on an R-expression.
37 Compare modified data to original Compare modified data to original
38 Raw print of the original vs the modified data. Raw print of the original vs the modified data.
39 Original data: Data asili:
40 Modified data: Data iliyobadilishwa:
41 New column name: New column name:
42 Group calculation by: Group calculation by:
43 Enter an expression to define new column: Enter an expression to define new column:
44 Click on a column name to add it to the expression: Click on a column name to add it to the expression:
45 Create column Create column
46 New column name cannot be empty New column name cannot be empty
47 Create a new column Create a new column
48 Some operations are not allowed Some operations are not allowed
49 Column added! Column added!
50 Unique values: Unique values:
51 Variable to cut: Variable to cut:
52 Close intervals on the right Close intervals on the right
53 Include lowest value Include lowest value
54 Create factor variable Create factor variable
55 Fixed breaks: Fixed breaks:
56 Method: Method:
57 Convert Numeric to Factor Convert Numeric to Factor
58 Unique: Unique:
59 Missing: Missing:
60 Most Common: Most Common:
61 Min: Min:
62 Mean: Mean:
63 Max: Max:
64 Decimal separator: Decimal separator:
65 First five rows are shown below: First five rows are shown below:
66 Imported data Imported data
67 www/intro.md www/intro.md
68 Choose your data Choose your data
69 Upload a file, get data directly from REDCap or use local or sample data. Upload a file, get data directly from REDCap or use local or sample data.
70 Factor variable to reorder: Factor variable to reorder:
71 Sort by levels Sort by levels
72 Sort by count Sort by count
73 Create a new variable (otherwise replaces the one selected) Create a new variable (otherwise replaces the one selected)
74 Update factor variable Update factor variable
75 Sort count Sort count
76 Levels Levels
77 Count Count
78 Update levels of a factor Update levels of a factor
79 Update & select variables Update & select variables
80 Date format: Date format:
81 Date to use as origin to convert date/datetime: Date to use as origin to convert date/datetime:
82 Apply changes Apply changes
83 No data to display. No data to display.
84 Data successfully updated! Data successfully updated!
85 You removed {p_out} % of observations. You removed {p_out} % of observations.
86 You removed {p_out} % of variables. You removed {p_out} % of variables.
87 You can import {file_extensions_text} files You can import {file_extensions_text} files
88 You can choose between these file types: You can choose between these file types:
89 Rows to skip before reading data: Rows to skip before reading data:
90 Missing values character(s): Missing values character(s):
91 if several use a comma (',') to separate them if several use a comma (',') to separate them
92 Encoding: Encoding:
93 Upload a file: Upload a file:
94 Browse... Browse...
95 Select sheet to import: Select sheet to import:
96 No file selected. No file selected.
97 Evaluate Evaluate
98 Visuals Visuals
99 Regression Regression
100 Download Download
101 {data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases. {data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.
102 Prepare Prepare
103 At 0, only complete variables are included; at 100, all variables are included. At 0, only complete variables are included; at 100, all variables are included.
104 The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent. The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.
105 No variables have a correlation measure above the threshold. No variables have a correlation measure above the threshold.
106 and and
107 from each pair from each pair
108 Only non-text variables are available for plotting. Go the "Data" to reclass data to plot. Only non-text variables are available for plotting. Go the "Data" to reclass data to plot.
109 Plot Plot
110 Adjust settings, then press "Plot". Adjust settings, then press "Plot".
111 Plot height (mm) Plot height (mm)
112 Plot width (mm) Plot width (mm)
113 File format File format
114 Download plot Download plot
115 Select variable Select variable
116 Response variable Response variable
117 Plot type Plot type
118 Please select Please select
119 Additional variables Additional variables
120 Secondary variable Secondary variable
121 No variable No variable
122 Grouping variable Grouping variable
123 No stratification No stratification
124 Drawing the plot. Hold tight for a moment.. Drawing the plot. Hold tight for a moment..
125 #Plotting\n #Plotting\n
126 Stacked horizontal bars Stacked horizontal bars
127 A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars
128 Violin plot Violin plot
129 A modern alternative to the classic boxplot to visualise data distribution A modern alternative to the classic boxplot to visualise data distribution
130 Sankey plot Sankey plot
131 A way of visualising change between groups A way of visualising change between groups
132 Scatter plot Scatter plot
133 A classic way of showing the association between to variables A classic way of showing the association between to variables
134 Box plot Box plot
135 A classic way to plot data distribution by groups A classic way to plot data distribution by groups
136 Euler diagram Euler diagram
137 Generate area-proportional Euler diagrams to display set relationships Generate area-proportional Euler diagrams to display set relationships
138 Documentation Documentation
139 Data is only stored for analyses and deleted when the app is closed. Data is only stored for analyses and deleted when the app is closed.
140 Feedback Feedback
141 License: AGPLv3 License: AGPLv3
142 Source Source
143 Data includes {n_pairs} pairs of highly correlated variables. Data includes {n_pairs} pairs of highly correlated variables.
144 Create plot Create plot
145 Coefficients plot Coefficients plot
146 Checks Checks
147 Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters. Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters.
148 Browse observations Browse observations
149 Settings Settings
150 The following error occured on determining correlations: The following error occured on determining correlations:
151 We encountered the following error creating your report: We encountered the following error creating your report:
152 No missing observations No missing observations
153 There is a total of {p_miss} % missing observations. There is a total of {p_miss} % missing observations.
154 Median: Median:
155 Restore original data Restore original data
156 Reset to original imported dataset. Careful! There is no un-doing. Reset to original imported dataset. Careful! There is no un-doing.
157 Characteristics Characteristics
158 Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list. Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.
159 Compare strata? Compare strata?
160 Correlations Correlations
161 To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'. To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.
162 Correlation cut-off Correlation cut-off
163 Set the cut-off for considered 'highly correlated'. Set the cut-off for considered 'highly correlated'.
164 Missings Missings
165 Class Class
166 Observations Observations
167 Data classes and missing observations Data classes and missing observations
168 Sure you want to reset data? This cannot be undone. Sure you want to reset data? This cannot be undone.
169 Cancel Cancel
170 Confirm Confirm
171 The filtered data The filtered data
172 Create new factor Create new factor
173 This window is aimed at advanced users and require some *R*-experience! This window is aimed at advanced users and require some *R*-experience!
174 Create new variables Create new variables
175 Select data types to include Select data types to include
176 Uploaded data overview Uploaded data overview
177 Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias. Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.
178 Specify covariables Specify covariables
179 If none are selected, all are included. If none are selected, all are included.
180 Analyse Analyse
181 Working... Working...
182 Press 'Analyse' to create the regression model and after changing parameters. Press 'Analyse' to create the regression model and after changing parameters.
183 Show p-value Show p-value
184 Model checks Model checks
185 Please confirm data reset! Please confirm data reset!
186 Import data from REDCap Import data from REDCap
187 REDCap server REDCap server
188 Web address Web address
189 Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/' Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'
190 API token API token
191 The token is a string of 32 numbers and letters. The token is a string of 32 numbers and letters.
192 Connect Connect
193 Data import parameters Data import parameters
194 Select fields/variables to import and click the funnel to apply optional filters Select fields/variables to import and click the funnel to apply optional filters
195 Import Import
196 Click to see data dictionary Click to see data dictionary
197 Connected to server! Connected to server!
198 The {data_rv$info$project_title} project is loaded. The {data_rv$info$project_title} project is loaded.
199 Data dictionary Data dictionary
200 Preview: Preview:
201 Imported data set Imported data set
202 Select fields/variables to import: Select fields/variables to import:
203 Specify the data format Specify the data format
204 Fill missing values? Fill missing values?
205 Requested data was retrieved! Requested data was retrieved!
206 Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.
207 Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.
208 Click to see the imported data Click to see the imported data
209 Regression table Regression table
210 Import a dataset from an environment Import a dataset from an environment
211 Select a dataset: Select a dataset:
212 List of datasets... List of datasets...
213 No data selected! No data selected!
214 No dataset here... No dataset here...
215 Use a dataset from your environment or from the environment of a package. Use a dataset from your environment or from the environment of a package.
216 Not a data.frame Not a data.frame
217 Select source Select source
218 Select a data source: Select a data source:
219 Yes Yes
220 No No
221 Coefficient plot Coefficient plot
222 Select outcome variable Select outcome variable
223 Choose regression analysis Choose regression analysis
224 Covariables to format as categorical Covariables to format as categorical
225 Select variable to stratify baseline Select variable to stratify baseline
226 Select models to plot Select models to plot
227 Creating regression models failed with the following error: Creating regression models failed with the following error:
228 Creating a regression table failed with the following error: Creating a regression table failed with the following error:
229 Saving the plot. Hold on for a moment.. Saving the plot. Hold on for a moment..
230 Running model assumptions checks failed with the following error: Running model assumptions checks failed with the following error:
231 Select checks to plot Select checks to plot
232 Multivariable regression model checks Multivariable regression model checks
233 Grouped by {get_label(data,ter)} Grouped by {get_label(data,ter)}
234 Option to perform statistical comparisons between strata in baseline table. Option to perform statistical comparisons between strata in baseline table.
235 Press 'Evaluate' to create the comparison table. Press 'Evaluate' to create the comparison table.
236 The data includes {n_col} variables. Please limit to 100. The data includes {n_col} variables. Please limit to 100.
237 Data import Data import
238 Data import formatting Data import formatting
239 Data modifications Data modifications
240 Variables filter Variables filter
241 Data filter Data filter
242 Data characteristics table Data characteristics table
243 The dataset without text variables The dataset without text variables
244 Creating the table. Hold on for a moment.. Creating the table. Hold on for a moment..
245 Generating the report. Hold on for a moment.. Generating the report. Hold on for a moment..
246 We encountered the following error showing missingness: We encountered the following error showing missingness:
247 We encountered the following error browsing your data: We encountered the following error browsing your data:
248 Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything. Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.
249 Other Other
250 Hour of the day Hour of the day
251 Breaks Breaks
252 By day of the week By day of the week
253 By weekday By weekday
254 By week number and year By week number and year
255 By week number By week number
256 By month and year By month and year
257 By month only By month only
258 By quarter of the year By quarter of the year
259 By year By year
260 Keep only most common Keep only most common
261 Number Number
262 Combine below percentage Combine below percentage
263 Percentage Percentage
264 By specified numbers By specified numbers
265 By quantiles (groups of equal size) By quantiles (groups of equal size)
266 Please fill in web address and API token, then press 'Connect'. Please fill in web address and API token, then press 'Connect'.
267 There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data. There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.
268 Text or character to split string by Text or character to split string by
269 Split the variable Split the variable
270 Variable to split: Variable to split:
271 Direction: Direction:
272 Split string to multiple columns. Keep number of rows. Split string to multiple columns. Keep number of rows.
273 Split string to multiple observations (rows) in the same column. Also ads id and instance columns Split string to multiple observations (rows) in the same column. Also ads id and instance columns
274 Split character string Split character string
275 Split text Split text
276 Split a character string by a common delimiter Split a character string by a common delimiter
277 Select delimiter Select delimiter
278 Browse data preview Browse data preview
279 Original data Original data
280 Preview of result Preview of result
281 No character variables with accepted delimiters detected. No character variables with accepted delimiters detected.
282 Split a text column by a recognised delimiter. Split a text column by a recognised delimiter.
283 Apply split Apply split
284 Stacked relative barplot Stacked relative barplot
285 Create relative stacked barplots to show the distribution of categorical levels Create relative stacked barplots to show the distribution of categorical levels
286 Side-by-side barplot Side-by-side barplot
287 Create side-by-side barplot to show the distribution of categorical levels Create side-by-side barplot to show the distribution of categorical levels
288 Select table theme Select table theme
289 Level of detail Level of detail
290 Minimal Minimal
291 Extensive Extensive
292 Letters Letters
293 Words Words
294 Shorten to first letters Shorten to first letters
295 Shorten to first words Shorten to first words
296 Missings across variables by the variable **'{input$missings_var}'** Missings across variables by the variable **'{input$missings_var}'**
297 Missing vs non-missing observations in the variable **'{input$missings_var}'** Missing vs non-missing observations in the variable **'{input$missings_var}'**
298 Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random. Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.
299 Calculating. Hold tight for a moment.. Calculating. Hold tight for a moment..
300 Overview of missing observations Overview of missing observations
301 Analysis method for missingness overview Analysis method for missingness overview
302 Overview of missings across variables Overview of missings across variables
303 Overview of difference in variables by missing status in outcome Overview of difference in variables by missing status in outcome
304 Select a variable for grouped overview Select a variable for grouped overview
305 Select outcome variable for overview Select outcome variable for overview
306 No outcome measure chosen No outcome measure chosen
307 There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}. There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.
308 Include group differences Include group differences
309 Error: Error:
310 Download table Download table
311 Welcome to FreesearchR Welcome to FreesearchR
312 A free data analysis tool for clinicians, students, and learners A free data analysis tool for clinicians, students, and learners
313 Core Features Core Features
314 Import Data Import Data
315 Data Management Data Management
316 Filter, modify, and create new variables. Prepare your data efficiently for analysis. Filter, modify, and create new variables. Prepare your data efficiently for analysis.
317 Descriptive Statistics Descriptive Statistics
318 Additional Capabilities Additional Capabilities
319 Data Visualization Data Visualization
320 Create simple, clean plots for quick insights and overview Create simple, clean plots for quick insights and overview
321 Regression Models Regression Models
322 Build simple regression models for advanced analysis Build simple regression models for advanced analysis
323 Export & Learn Export & Learn
324 Download Results Download Results
325 Get Modified Data Get Modified Data
326 Reproducible Code Reproducible Code
327 Full Documentation Full Documentation
328 Share Feedback Share Feedback
329 Contact Us Contact Us
330 FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org
331 Home Home
332 Start with FreesearchR for basic data evaluation and analysis. Start with FreesearchR for basic data evaluation and analysis.
333 When you need more advanced tools, you'll be better prepared to use R directly. When you need more advanced tools, you'll be better prepared to use R directly.
334 (Read more) (Read more)
335 Run the FreesearchR app locally when working with sensitive data. Run the FreesearchR app locally when working with sensitive data.
336 Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility. Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.
337 Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively. Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.
338 Export results directly to your text editor Export results directly to your text editor
339 Save your processed datasets for later Save your processed datasets for later
340 Learn and reproduce results in R Learn and reproduce results in R
341 When you need more advanced tools, you'll be prepared to use R directly. When you need more advanced tools, you'll be prepared to use R directly.

View file

@ -1,7 +1,7 @@
######## ########
#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmpBwniSk/file141b66174230e.R #### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmpfypcRk/file94c829f4964f.R
######## ########
i18n_path <- system.file("translations", package = "FreesearchR") i18n_path <- system.file("translations", package = "FreesearchR")
@ -62,7 +62,7 @@ i18n$set_translation_language("en")
#### Current file: /Users/au301842/FreesearchR/R//app_version.R #### Current file: /Users/au301842/FreesearchR/R//app_version.R
######## ########
app_version <- function()'26.1.2' app_version <- function()'25.12.7'
######## ########
@ -4486,7 +4486,7 @@ data_types <- function() {
#### Current file: /Users/au301842/FreesearchR/R//hosted_version.R #### Current file: /Users/au301842/FreesearchR/R//hosted_version.R
######## ########
hosted_version <- function()'v26.1.2-260112' hosted_version <- function()'v25.12.7-251218'
######## ########
@ -5566,7 +5566,6 @@ landing_page_ui <- function(i18n) {
p( p(
class = "lead", class = "lead",
i18n$t("Start with FreesearchR for basic data evaluation and analysis."), i18n$t("Start with FreesearchR for basic data evaluation and analysis."),
i18n$t("The app contains a selelct number of features and will guide you through key analyses."),
i18n$t("When you need more advanced tools, you'll be prepared to use R directly."), i18n$t("When you need more advanced tools, you'll be prepared to use R directly."),
style = "font-size: 1.2rem; color: #555;" style = "font-size: 1.2rem; color: #555;"
) )
@ -10387,11 +10386,9 @@ gg_theme_export <- function() {
language_choices <- function() { language_choices <- function() {
c( c(
"🇩🇰 Dansk" = "da",
# "🇩🇪 Deutsch" = "de",
"🇬🇧 English" = "en", "🇬🇧 English" = "en",
"🇹🇿 Kiswahili" = "sw"#, "🇹🇿 Kiswahili" = "sw",
# "🇸🇪 Svenska" = "sv" "🇩🇰 Dansk" = "da"
) )
} }
@ -10675,11 +10672,11 @@ ui_elements <- function(selection) {
width = 3, width = 3,
shiny::actionButton( shiny::actionButton(
inputId = "modal_update", inputId = "modal_update",
label = i18n$t("Modify factor levels"), label = i18n$t("Reorder factor levels"),
width = "100%" width = "100%"
), ),
shiny::tags$br(), shiny::tags$br(),
shiny::helpText(i18n$t("Reorder or rename the levels of factor/categorical variables.")), shiny::helpText(i18n$t("Reorder the levels of factor/categorical variables.")),
shiny::tags$br(), shiny::tags$br(),
shiny::tags$br() shiny::tags$br()
), ),
@ -11187,16 +11184,16 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
decreasing <- FALSE decreasing <- FALSE
label <- tagList( label <- tagList(
phosphoricons::ph("sort-descending"), phosphoricons::ph("sort-descending"),
i18n$t("Sort by Levels") "Sort Levels"
) )
} else { } else {
decreasing <- TRUE decreasing <- TRUE
label <- tagList( label <- tagList(
phosphoricons::ph("sort-ascending"), phosphoricons::ph("sort-ascending"),
i18n$t("Sort by Levels") "Sort Levels"
) )
} }
updateActionButton(inputId = "sort_levels", label = label) updateActionButton(inputId = "sort_levels", label = as.character(label))
rv$data_grid <- rv$data_grid[order(rv$data_grid[[1]], decreasing = decreasing), ] rv$data_grid <- rv$data_grid[order(rv$data_grid[[1]], decreasing = decreasing), ]
}) })
@ -11205,16 +11202,16 @@ update_factor_server <- function(id, data_r = reactive(NULL)) {
decreasing <- FALSE decreasing <- FALSE
label <- tagList( label <- tagList(
phosphoricons::ph("sort-descending"), phosphoricons::ph("sort-descending"),
i18n$t("Sort by count") i18n$t("Sort count")
) )
} else { } else {
decreasing <- TRUE decreasing <- TRUE
label <- tagList( label <- tagList(
phosphoricons::ph("sort-ascending"), phosphoricons::ph("sort-ascending"),
i18n$t("Sort by count") i18n$t("Sort count")
) )
} }
updateActionButton(inputId = "sort_occurrences", label = label) updateActionButton(inputId = "sort_occurrences", label = as.character(label))
rv$data_grid <- rv$data_grid[order(rv$data_grid[[2]], decreasing = decreasing), ] rv$data_grid <- rv$data_grid[order(rv$data_grid[[2]], decreasing = decreasing), ]
}) })
@ -11350,6 +11347,7 @@ factor_new_levels_labels <- function(
labels = ifelse(new_labels == "New label", new_levels, new_labels) labels = ifelse(new_labels == "New label", new_levels, new_labels)
) )
# browser()
if (isTRUE(new_variable)) { if (isTRUE(new_variable)) {
append_column( append_column(
@ -11358,7 +11356,7 @@ factor_new_levels_labels <- function(
name = unique_names(new = paste0(variable, "_updated"), existing = names(data)) name = unique_names(new = paste0(variable, "_updated"), existing = names(data))
) )
} else { } else {
data[[variable]] <- with_label data[[variable]] <- new_variable
data data
} }
} }

View file

@ -28,6 +28,8 @@
"Please note that data modifications are applied before any filtering.","Bemærk at alle ændringer i data anvendes inden filtreringen." "Please note that data modifications are applied before any filtering.","Bemærk at alle ændringer i data anvendes inden filtreringen."
"Advanced data manipulation","Avanceret datamanipulation" "Advanced data manipulation","Avanceret datamanipulation"
"Below options allow more advanced varaible manipulations.","Nedenfor er mulighed for avancerede ændringer i data." "Below options allow more advanced varaible manipulations.","Nedenfor er mulighed for avancerede ændringer i data."
"Reorder factor levels","Arranger niveuer i faktor"
"Reorder the levels of factor/categorical variables.","Arranger rækkefølgen af niveauer i faktorielle/kategoriske variabler."
"New factor","Ny faktor" "New factor","Ny faktor"
"Create factor/categorical variable from a continous variable (number/date/time).","Opret kategorisk variabel på baggrund af kontinuert variabel (numerisk/dato/tid)." "Create factor/categorical variable from a continous variable (number/date/time).","Opret kategorisk variabel på baggrund af kontinuert variabel (numerisk/dato/tid)."
"New variable","Ny variabel" "New variable","Ny variabel"
@ -70,6 +72,7 @@
"Sort by count","Sorter efter antal" "Sort by count","Sorter efter antal"
"Create a new variable (otherwise replaces the one selected)","Opret en ny variabel (ellers erstattes den oprindelige)" "Create a new variable (otherwise replaces the one selected)","Opret en ny variabel (ellers erstattes den oprindelige)"
"Update factor variable","Updater faktor-variabel" "Update factor variable","Updater faktor-variabel"
"Sort count","Sorter antal"
"Levels","Niveauer" "Levels","Niveauer"
"Count","Antal" "Count","Antal"
"Update levels of a factor","Updater niveauerne for en faktor" "Update levels of a factor","Updater niveauerne for en faktor"
@ -262,82 +265,77 @@
"By quantiles (groups of equal size)","I grupper af samme størrelse" "By quantiles (groups of equal size)","I grupper af samme størrelse"
"By week number","Efter ugenummer alene" "By week number","Efter ugenummer alene"
"There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","Der er mere avancerede muligheder for at ændre kategoriske variable, oprette nye kategoriske variabler fra eksisterende data eller nye variable baseret på R-kode. Nederst kan du gendanne originale data." "There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","Der er mere avancerede muligheder for at ændre kategoriske variable, oprette nye kategoriske variabler fra eksisterende data eller nye variable baseret på R-kode. Nederst kan du gendanne originale data."
"Split the variable","Opdel variablen" "Split the variable","Split the variable"
"Original data","Oprindelige data" "Original data","Original data"
"Preview of result","Forhåndsvisning af resultat" "Preview of result","Preview of result"
"No character variables with accepted delimiters detected.","Opdel en tegnstreng med en fælles afgrænser" "No character variables with accepted delimiters detected.","No character variables with accepted delimiters detected."
"Variable to split:","Variabel at dele:" "Variable to split:","Variable to split:"
"Text or character to split string by","Text eller tegn der skal bruges til opdeling" "Text or character to split string by","Text or character to split string by"
"Select delimiter","Vælg afgrænser" "Select delimiter","Select delimiter"
"Direction:","Retning:" "Direction:","Direction:"
"Split string to multiple columns. Keep number of rows.","Opdel strengen i flere kolonner. Behold antallet af rækker." "Split string to multiple columns. Keep number of rows.","Split string to multiple columns. Keep number of rows."
"Split string to multiple observations (rows) in the same column. Also ads id and instance columns","Opdel strengen til flere observationer (rækker) i samme kolonne. Også annonce-id og instanskolonner" "Split string to multiple observations (rows) in the same column. Also ads id and instance columns","Split string to multiple observations (rows) in the same column. Also ads id and instance columns"
"Browse data preview","Forhåndsvisning af resultat" "Browse data preview","Browse data preview"
"Split character string","Opdel tegnstreng" "Split character string","Split character string"
"Split text","Opdel tekst" "Split text","Split text"
"Split a text column by a recognised delimiter.","Ingen tegnvariabler med accepterede afgrænsere fundet." "Split a text column by a recognised delimiter.","Split a text column by a recognised delimiter."
"Split a character string by a common delimiter","Opdel en tekstkolonne med en fælles afgrænser" "Split a character string by a common delimiter","Split a character string by a common delimiter"
"Apply split","Anvend opdeling" "Apply split","Apply split"
"Stacked relative barplot","Stablet relativt søjlediagram" "Stacked relative barplot","Stacked relative barplot"
"Create relative stacked barplots to show the distribution of categorical levels","Opret relative stablede søjlediagrammer for at vise fordelingen af kategoriske niveauer" "Create relative stacked barplots to show the distribution of categorical levels","Create relative stacked barplots to show the distribution of categorical levels"
"Side-by-side barplot","Side om side barplot" "Side-by-side barplot","Side-by-side barplot"
"Create side-by-side barplot to show the distribution of categorical levels","Opret et side-om-side søjlediagram for at vise fordelingen af kategoriske niveauer" "Create side-by-side barplot to show the distribution of categorical levels","Create side-by-side barplot to show the distribution of categorical levels"
"Select table theme","Vælg tema" "Select table theme","Select table theme"
"Level of detail","Detaljeniveau" "Level of detail","Level of detail"
"Minimal","Minimal" "Minimal","Minimal"
"Extensive","Stor" "Extensive","Extensive"
"Letters","Bogstaver" "Letters","Letters"
"Words","Ord" "Words","Words"
"Shorten to first letters","Afkort til første bogstaver" "Shorten to first letters","Shorten to first letters"
"Shorten to first words","Afkort til de første ord" "Shorten to first words","Shorten to first words"
"Missings across variables by the variable **'{input$missings_var}'**","Manglende værdier på tværs af variablerne **'{input$missings_var}'**" "Missings across variables by the variable **'{input$missings_var}'**","Missings across variables by the variable **'{input$missings_var}'**"
"Missing vs non-missing observations in the variable **'{input$missings_var}'**","Manglende vs. ikke-manglende observationer i variablen **'{input$missings_var}'**" "Missing vs non-missing observations in the variable **'{input$missings_var}'**","Missing vs non-missing observations in the variable **'{input$missings_var}'**"
"Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.","Evaluer manglende værdier ved enten at sammenligne manglende værdier på tværs af variabler (valgfrit grupperet efter en kategorisk eller dikotom variabel) eller sammenligne variabler grupperet efter manglende status (mangler eller ej) for en udfaldsvariabel. Hvis der er en signifikant forskel i manglende værdier, kan dette forårsage en bias i dine data, og det bør overvejes omhyggeligt at fortolke dataene og analyserne, da data muligvis ikke mangler tilfældigt." "Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.","Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random."
"Calculating. Hold tight for a moment..","Beregner. Hold lige fast et øjeblik.." "Calculating. Hold tight for a moment..","Calculating. Hold tight for a moment.."
"Overview of missing observations","Oversigt over manglende observationer" "Overview of missing observations","Overview of missing observations"
"Analysis method for missingness overview","Analysemetode for oversigt over manglende indhold" "Analysis method for missingness overview","Analysis method for missingness overview"
"Overview of missings across variables","Oversigt over mangler på tværs af variabler" "Overview of missings across variables","Overview of missings across variables"
"Overview of difference in variables by missing status in outcome","Oversigt over forskel i variabler ved manglende status i resultat" "Overview of difference in variables by missing status in outcome","Overview of difference in variables by missing status in outcome"
"Select a variable for grouped overview","Vælg en variabel til grupperet oversigt" "Select a variable for grouped overview","Select a variable for grouped overview"
"Select outcome variable for overview","Vælg resultatvariabel for oversigt" "Select outcome variable for overview","Select outcome variable for overview"
"No outcome measure chosen","Ingen resultatmål valgt" "No outcome measure chosen","No outcome measure chosen"
"There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.","Der er en betydelig forskel i manglende data i {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grupperet efter det valgte resultat/grupperingsvariabel {outcome}." "There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.","There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}."
"Include group differences","Inkluder gruppeforskelle" "Include group differences","Include group differences"
"Error:","Fejl:" "Error:","Error:"
"Download table","Download tabel" "Download table","Download table"
"Welcome to FreesearchR","Velkommen til FreesearchR" "Welcome to FreesearchR","Welcome to FreesearchR"
"A free data analysis tool for clinicians, students, and learners","Et gratis dataanalyseværktøj til klinikere, studerende og lærende" "A free data analysis tool for clinicians, students, and learners","A free data analysis tool for clinicians, students, and learners"
"Core Features","Kernefunktioner" "Core Features","Core Features"
"Import Data","Importér data" "Import Data","Import Data"
"Data Management","Datahåndtering" "Data Management","Data Management"
"Filter, modify, and create new variables. Prepare your data efficiently for analysis.","Filtrer, rediger og opret nye variabler. Forbered dine data effektivt til analyse." "Filter, modify, and create new variables. Prepare your data efficiently for analysis.","Filter, modify, and create new variables. Prepare your data efficiently for analysis."
"Descriptive Statistics","Deskriptiv statistik" "Descriptive Statistics","Descriptive Statistics"
"Additional Capabilities","Yderligere funktioner" "Additional Capabilities","Additional Capabilities"
"Data Visualization","Datavisualisering" "Data Visualization","Data Visualization"
"Create simple, clean plots for quick insights and overview","Opret enkle, overskuelige plots for hurtig indsigt og overblik" "Create simple, clean plots for quick insights and overview","Create simple, clean plots for quick insights and overview"
"Regression Models","Regressionsmodeller" "Regression Models","Regression Models"
"Build simple regression models for advanced analysis","Byg simple regressionsmodeller til avanceret analyse" "Build simple regression models for advanced analysis","Build simple regression models for advanced analysis"
"Export & Learn","Eksportér og lær" "Export & Learn","Export & Learn"
"Download Results","Download resultater" "Download Results","Download Results"
"Get Modified Data","Få ændrede data" "Get Modified Data","Get Modified Data"
"Reproducible Code","Reproducerbar kode" "Reproducible Code","Reproducible Code"
"Full Documentation","Fuld dokumentation" "Full Documentation","Full Documentation"
"Share Feedback","Del feedback" "Share Feedback","Share Feedback"
"Contact Us","Kontakt os" "Contact Us","Contact Us"
"FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org","FreesearchR er tilgængelig på flere sprog. For at få hjælp med oversættelser, kontakt os venligst på info@freesearchr.org" "FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org","FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org"
"Home","Hjem" "Home","Home"
"Start with FreesearchR for basic data evaluation and analysis.","Start med FreesearchR til grundlæggende dataevaluering og -analyse." "Start with FreesearchR for basic data evaluation and analysis.","Start with FreesearchR for basic data evaluation and analysis."
"When you need more advanced tools, you'll be better prepared to use R directly.","Når du har brug for mere avancerede værktøjer, vil du være bedre forberedt på at bruge R direkte." "When you need more advanced tools, you'll be better prepared to use R directly.","When you need more advanced tools, you'll be better prepared to use R directly."
"(Read more)","(Læs mere)" "(Read more)","(Read more)"
"Run the FreesearchR app locally when working with sensitive data.","Kør FreesearchR-appen lokalt, når du arbejder med følsomme data." "Run the FreesearchR app locally when working with sensitive data.","Run the FreesearchR app locally when working with sensitive data."
"Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.","Indlæs data fra regneark, REDCap-servere, eller prøv med eksempeldata. Flere kilder understøttes for maksimal fleksibilitet." "Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.","Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility."
"Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.","Evaluer data med beskrivende analyser, undersøg korrelationer og gennemgå manglende observationer effektivt." "Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.","Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively."
"Export results directly to your text editor","Eksporter resultater direkte til din teksteditor" "Export results directly to your text editor","Export results directly to your text editor"
"Save your processed datasets for later","Gem dine behandlede datasæt til senere" "Save your processed datasets for later","Save your processed datasets for later"
"Learn and reproduce results in R","Lær og reproducer resultater i R" "Learn and reproduce results in R","Learn and reproduce results in R"
"When you need more advanced tools, you'll be prepared to use R directly.","Når du har brug for mere avancerede værktøjer, vil du være forberedt på at bruge R direkte." "When you need more advanced tools, you'll be prepared to use R directly.","When you need more advanced tools, you'll be prepared to use R directly."
"The app contains a selelct number of features and will guide you through key analyses.","Appen indeholder udvalgte funktioner, og guider dig gennem de vigtigste analyser."
"Sort by Levels","Sorter efter niveauer"
"Reorder factor levels","Omarranger niveauer"
"Modify factor levels","Modify factor levels"
"Reorder or rename the levels of factor/categorical variables.","Reorder or rename the levels of factor/categorical variables."

1 en da
28 Please note that data modifications are applied before any filtering. Bemærk at alle ændringer i data anvendes inden filtreringen.
29 Advanced data manipulation Avanceret datamanipulation
30 Below options allow more advanced varaible manipulations. Nedenfor er mulighed for avancerede ændringer i data.
31 Reorder factor levels Arranger niveuer i faktor
32 Reorder the levels of factor/categorical variables. Arranger rækkefølgen af niveauer i faktorielle/kategoriske variabler.
33 New factor Ny faktor
34 Create factor/categorical variable from a continous variable (number/date/time). Opret kategorisk variabel på baggrund af kontinuert variabel (numerisk/dato/tid).
35 New variable Ny variabel
72 Sort by count Sorter efter antal
73 Create a new variable (otherwise replaces the one selected) Opret en ny variabel (ellers erstattes den oprindelige)
74 Update factor variable Updater faktor-variabel
75 Sort count Sorter antal
76 Levels Niveauer
77 Count Antal
78 Update levels of a factor Updater niveauerne for en faktor
265 By quantiles (groups of equal size) I grupper af samme størrelse
266 By week number Efter ugenummer alene
267 There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data. Der er mere avancerede muligheder for at ændre kategoriske variable, oprette nye kategoriske variabler fra eksisterende data eller nye variable baseret på R-kode. Nederst kan du gendanne originale data.
268 Split the variable Opdel variablen Split the variable
269 Original data Oprindelige data Original data
270 Preview of result Forhåndsvisning af resultat Preview of result
271 No character variables with accepted delimiters detected. Opdel en tegnstreng med en fælles afgrænser No character variables with accepted delimiters detected.
272 Variable to split: Variabel at dele: Variable to split:
273 Text or character to split string by Text eller tegn der skal bruges til opdeling Text or character to split string by
274 Select delimiter Vælg afgrænser Select delimiter
275 Direction: Retning: Direction:
276 Split string to multiple columns. Keep number of rows. Opdel strengen i flere kolonner. Behold antallet af rækker. Split string to multiple columns. Keep number of rows.
277 Split string to multiple observations (rows) in the same column. Also ads id and instance columns Opdel strengen til flere observationer (rækker) i samme kolonne. Også annonce-id og instanskolonner Split string to multiple observations (rows) in the same column. Also ads id and instance columns
278 Browse data preview Forhåndsvisning af resultat Browse data preview
279 Split character string Opdel tegnstreng Split character string
280 Split text Opdel tekst Split text
281 Split a text column by a recognised delimiter. Ingen tegnvariabler med accepterede afgrænsere fundet. Split a text column by a recognised delimiter.
282 Split a character string by a common delimiter Opdel en tekstkolonne med en fælles afgrænser Split a character string by a common delimiter
283 Apply split Anvend opdeling Apply split
284 Stacked relative barplot Stablet relativt søjlediagram Stacked relative barplot
285 Create relative stacked barplots to show the distribution of categorical levels Opret relative stablede søjlediagrammer for at vise fordelingen af kategoriske niveauer Create relative stacked barplots to show the distribution of categorical levels
286 Side-by-side barplot Side om side barplot Side-by-side barplot
287 Create side-by-side barplot to show the distribution of categorical levels Opret et side-om-side søjlediagram for at vise fordelingen af kategoriske niveauer Create side-by-side barplot to show the distribution of categorical levels
288 Select table theme Vælg tema Select table theme
289 Level of detail Detaljeniveau Level of detail
290 Minimal Minimal
291 Extensive Stor Extensive
292 Letters Bogstaver Letters
293 Words Ord Words
294 Shorten to first letters Afkort til første bogstaver Shorten to first letters
295 Shorten to first words Afkort til de første ord Shorten to first words
296 Missings across variables by the variable **'{input$missings_var}'** Manglende værdier på tværs af variablerne **'{input$missings_var}'** Missings across variables by the variable **'{input$missings_var}'**
297 Missing vs non-missing observations in the variable **'{input$missings_var}'** Manglende vs. ikke-manglende observationer i variablen **'{input$missings_var}'** Missing vs non-missing observations in the variable **'{input$missings_var}'**
298 Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random. Evaluer manglende værdier ved enten at sammenligne manglende værdier på tværs af variabler (valgfrit grupperet efter en kategorisk eller dikotom variabel) eller sammenligne variabler grupperet efter manglende status (mangler eller ej) for en udfaldsvariabel. Hvis der er en signifikant forskel i manglende værdier, kan dette forårsage en bias i dine data, og det bør overvejes omhyggeligt at fortolke dataene og analyserne, da data muligvis ikke mangler tilfældigt. Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.
299 Calculating. Hold tight for a moment.. Beregner. Hold lige fast et øjeblik.. Calculating. Hold tight for a moment..
300 Overview of missing observations Oversigt over manglende observationer Overview of missing observations
301 Analysis method for missingness overview Analysemetode for oversigt over manglende indhold Analysis method for missingness overview
302 Overview of missings across variables Oversigt over mangler på tværs af variabler Overview of missings across variables
303 Overview of difference in variables by missing status in outcome Oversigt over forskel i variabler ved manglende status i resultat Overview of difference in variables by missing status in outcome
304 Select a variable for grouped overview Vælg en variabel til grupperet oversigt Select a variable for grouped overview
305 Select outcome variable for overview Vælg resultatvariabel for oversigt Select outcome variable for overview
306 No outcome measure chosen Ingen resultatmål valgt No outcome measure chosen
307 There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}. Der er en betydelig forskel i manglende data i {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grupperet efter det valgte resultat/grupperingsvariabel {outcome}. There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.
308 Include group differences Inkluder gruppeforskelle Include group differences
309 Error: Fejl: Error:
310 Download table Download tabel Download table
311 Welcome to FreesearchR Velkommen til FreesearchR Welcome to FreesearchR
312 A free data analysis tool for clinicians, students, and learners Et gratis dataanalyseværktøj til klinikere, studerende og lærende A free data analysis tool for clinicians, students, and learners
313 Core Features Kernefunktioner Core Features
314 Import Data Importér data Import Data
315 Data Management Datahåndtering Data Management
316 Filter, modify, and create new variables. Prepare your data efficiently for analysis. Filtrer, rediger og opret nye variabler. Forbered dine data effektivt til analyse. Filter, modify, and create new variables. Prepare your data efficiently for analysis.
317 Descriptive Statistics Deskriptiv statistik Descriptive Statistics
318 Additional Capabilities Yderligere funktioner Additional Capabilities
319 Data Visualization Datavisualisering Data Visualization
320 Create simple, clean plots for quick insights and overview Opret enkle, overskuelige plots for hurtig indsigt og overblik Create simple, clean plots for quick insights and overview
321 Regression Models Regressionsmodeller Regression Models
322 Build simple regression models for advanced analysis Byg simple regressionsmodeller til avanceret analyse Build simple regression models for advanced analysis
323 Export & Learn Eksportér og lær Export & Learn
324 Download Results Download resultater Download Results
325 Get Modified Data Få ændrede data Get Modified Data
326 Reproducible Code Reproducerbar kode Reproducible Code
327 Full Documentation Fuld dokumentation Full Documentation
328 Share Feedback Del feedback Share Feedback
329 Contact Us Kontakt os Contact Us
330 FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org FreesearchR er tilgængelig på flere sprog. For at få hjælp med oversættelser, kontakt os venligst på info@freesearchr.org FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org
331 Home Hjem Home
332 Start with FreesearchR for basic data evaluation and analysis. Start med FreesearchR til grundlæggende dataevaluering og -analyse. Start with FreesearchR for basic data evaluation and analysis.
333 When you need more advanced tools, you'll be better prepared to use R directly. Når du har brug for mere avancerede værktøjer, vil du være bedre forberedt på at bruge R direkte. When you need more advanced tools, you'll be better prepared to use R directly.
334 (Read more) (Læs mere) (Read more)
335 Run the FreesearchR app locally when working with sensitive data. Kør FreesearchR-appen lokalt, når du arbejder med følsomme data. Run the FreesearchR app locally when working with sensitive data.
336 Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility. Indlæs data fra regneark, REDCap-servere, eller prøv med eksempeldata. Flere kilder understøttes for maksimal fleksibilitet. Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.
337 Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively. Evaluer data med beskrivende analyser, undersøg korrelationer og gennemgå manglende observationer effektivt. Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.
338 Export results directly to your text editor Eksporter resultater direkte til din teksteditor Export results directly to your text editor
339 Save your processed datasets for later Gem dine behandlede datasæt til senere Save your processed datasets for later
340 Learn and reproduce results in R Lær og reproducer resultater i R Learn and reproduce results in R
341 When you need more advanced tools, you'll be prepared to use R directly. Når du har brug for mere avancerede værktøjer, vil du være forberedt på at bruge R direkte. When you need more advanced tools, you'll be prepared to use R directly.
The app contains a selelct number of features and will guide you through key analyses. Appen indeholder udvalgte funktioner, og guider dig gennem de vigtigste analyser.
Sort by Levels Sorter efter niveauer
Reorder factor levels Omarranger niveauer
Modify factor levels Modify factor levels
Reorder or rename the levels of factor/categorical variables. Reorder or rename the levels of factor/categorical variables.

View file

@ -0,0 +1,341 @@
"en","de"
"Hello","Hallo"
"The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.","The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent."
"No variables have a correlation measure above the threshold.","No variables have a correlation measure above the threshold."
"and","and"
"The following error occured on determining correlations:","The following error occured on determining correlations:"
"from each pair","from each pair"
"New column name:","New column name:"
"Group calculation by:","Group calculation by:"
"Enter an expression to define new column:","Enter an expression to define new column:"
"Click on a column name to add it to the expression:","Click on a column name to add it to the expression:"
"Create column","Create column"
"Cancel","Cancel"
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything."
"New column name cannot be empty","New column name cannot be empty"
"Create a new column","Create a new column"
"Some operations are not allowed","Some operations are not allowed"
"Column added!","Column added!"
"Unique values:","Unique values:"
"Variable to cut:","Variable to cut:"
"Close intervals on the right","Close intervals on the right"
"Include lowest value","Include lowest value"
"Create factor variable","Create factor variable"
"Fixed breaks:","Fixed breaks:"
"Method:","Method:"
"Other","Other"
"Convert Numeric to Factor","Convert Numeric to Factor"
"Hour of the day","Hour of the day"
"Breaks","Breaks"
"By day of the week","By day of the week"
"By weekday","By weekday"
"By week number and year","By week number and year"
"By week number","By week number"
"By month and year","By month and year"
"By month only","By month only"
"By quarter of the year","By quarter of the year"
"By year","By year"
"Keep only most common","Keep only most common"
"Number","Number"
"Combine below percentage","Combine below percentage"
"Percentage","Percentage"
"By specified numbers","By specified numbers"
"By quantiles (groups of equal size)","By quantiles (groups of equal size)"
"Only non-text variables are available for plotting. Go the ""Data"" to reclass data to plot.","Only non-text variables are available for plotting. Go the ""Data"" to reclass data to plot."
"Plot","Plot"
"Adjust settings, then press ""Plot"".","Adjust settings, then press ""Plot""."
"Plot height (mm)","Plot height (mm)"
"Plot width (mm)","Plot width (mm)"
"File format","File format"
"Download plot","Download plot"
"Create plot","Create plot"
"Download","Download"
"Select variable","Select variable"
"Response variable","Response variable"
"Plot type","Plot type"
"Please select","Please select"
"Additional variables","Additional variables"
"Secondary variable","Secondary variable"
"No variable","No variable"
"Grouping variable","Grouping variable"
"No stratification","No stratification"
"Drawing the plot. Hold tight for a moment..","Drawing the plot. Hold tight for a moment.."
"#Plotting\n","#Plotting\n"
"Stacked horizontal bars","Stacked horizontal bars"
"A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars","A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars"
"Violin plot","Violin plot"
"A modern alternative to the classic boxplot to visualise data distribution","A modern alternative to the classic boxplot to visualise data distribution"
"Sankey plot","Sankey plot"
"A way of visualising change between groups","A way of visualising change between groups"
"Scatter plot","Scatter plot"
"A classic way of showing the association between to variables","A classic way of showing the association between to variables"
"Box plot","Box plot"
"A classic way to plot data distribution by groups","A classic way to plot data distribution by groups"
"Euler diagram","Euler diagram"
"Generate area-proportional Euler diagrams to display set relationships","Generate area-proportional Euler diagrams to display set relationships"
"Unique:","Unique:"
"Missing:","Missing:"
"Most Common:","Most Common:"
"Min:","Min:"
"Mean:","Mean:"
"Median:","Median:"
"Max:","Max:"
"{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.","{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases."
"Import a dataset from an environment","Import a dataset from an environment"
"Select a data source:","Select a data source:"
"Select source","Select source"
"Select a dataset:","Select a dataset:"
"List of datasets...","List of datasets..."
"No data selected!","No data selected!"
"Use a dataset from your environment or from the environment of a package.","Use a dataset from your environment or from the environment of a package."
"No dataset here...","No dataset here..."
"Imported data","Imported data"
"Not a data.frame","Not a data.frame"
"Rows to skip before reading data:","Rows to skip before reading data:"
"Missing values character(s):","Missing values character(s):"
"if several use a comma (',') to separate them","if several use a comma (',') to separate them"
"Decimal separator:","Decimal separator:"
"Encoding:","Encoding:"
"Upload a file:","Upload a file:"
"Browse...","Browse..."
"Select sheet to import:","Select sheet to import:"
"No file selected.","No file selected."
"You can choose between these file types:","You can choose between these file types:"
"You can import {file_extensions_text} files","You can import {file_extensions_text} files"
"First five rows are shown below:","First five rows are shown below:"
"No missing observations","No missing observations"
"Grouped by {get_label(data,ter)}","Grouped by {get_label(data,ter)}"
"Import data from REDCap","Import data from REDCap"
"REDCap server","REDCap server"
"Web address","Web address"
"Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'","Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'"
"API token","API token"
"The token is a string of 32 numbers and letters.","The token is a string of 32 numbers and letters."
"Connect","Connect"
"Please fill in web address and API token, then press 'Connect'.","Please fill in web address and API token, then press 'Connect'."
"Data import parameters","Data import parameters"
"Select fields/variables to import and click the funnel to apply optional filters","Select fields/variables to import and click the funnel to apply optional filters"
"Import","Import"
"Click to see data dictionary","Click to see data dictionary"
"Connected to server!","Connected to server!"
"The {data_rv$info$project_title} project is loaded.","The {data_rv$info$project_title} project is loaded."
"Data dictionary","Data dictionary"
"Preview:","Preview:"
"Imported data set","Imported data set"
"Select fields/variables to import:","Select fields/variables to import:"
"Specify the data format","Specify the data format"
"Fill missing values?","Fill missing values?"
"Requested data was retrieved!","Requested data was retrieved!"
"Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access."
"Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access."
"Click to see the imported data","Click to see the imported data"
"Regression table","Regression table"
"Regression","Regression"
"Specify covariables","Specify covariables"
"If none are selected, all are included.","If none are selected, all are included."
"Analyse","Analyse"
"Working...","Working..."
"Press 'Analyse' to create the regression model and after changing parameters.","Press 'Analyse' to create the regression model and after changing parameters."
"Coefficient plot","Coefficient plot"
"Model checks","Model checks"
"Coefficients plot","Coefficients plot"
"Checks","Checks"
"Yes","Yes"
"No","No"
"Show p-value","Show p-value"
"Select outcome variable","Select outcome variable"
"Choose regression analysis","Choose regression analysis"
"Covariables to format as categorical","Covariables to format as categorical"
"Select variable to stratify baseline","Select variable to stratify baseline"
"Select models to plot","Select models to plot"
"Creating regression models failed with the following error:","Creating regression models failed with the following error:"
"Creating a regression table failed with the following error:","Creating a regression table failed with the following error:"
"Saving the plot. Hold on for a moment..","Saving the plot. Hold on for a moment.."
"Running model assumptions checks failed with the following error:","Running model assumptions checks failed with the following error:"
"Select checks to plot","Select checks to plot"
"Multivariable regression model checks","Multivariable regression model checks"
"www/intro.html","www/intro.html"
"www/intro.md","www/intro.md"
"Get started","Get started"
"Choose your data","Choose your data"
"Upload a file, get data directly from REDCap or use local or sample data.","Upload a file, get data directly from REDCap or use local or sample data."
"Please be mindfull handling sensitive data","Please be mindfull handling sensitive data"
"<p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>","<p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>"
"Quick overview","Quick overview"
"Select variables for final import","Select variables for final import"
"Exclude incomplete variables:","Exclude incomplete variables:"
"At 0, only complete variables are included; at 100, all variables are included.","At 0, only complete variables are included; at 100, all variables are included."
"Manual selection:","Manual selection:"
"Let's begin!","Let's begin!"
"Prepare","Prepare"
"Overview and filter","Overview and filter"
"Overview and filtering","Overview and filtering"
"Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters.","Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters."
"Visual overview","Visual overview"
"Browse observations","Browse observations"
"Filter data types","Filter data types"
"Filter observations","Filter observations"
"Apply filter on observation","Apply filter on observation"
"Edit and create data","Edit and create data"
"Subset, rename and convert variables","Subset, rename and convert variables"
"Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).","Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.)."
"Please note that data modifications are applied before any filtering.","Please note that data modifications are applied before any filtering."
"Advanced data manipulation","Advanced data manipulation"
"Below options allow more advanced varaible manipulations.","Below options allow more advanced varaible manipulations."
"Reorder factor levels","Reorder factor levels"
"Reorder the levels of factor/categorical variables.","Reorder the levels of factor/categorical variables."
"New factor","New factor"
"Create factor/categorical variable from a continous variable (number/date/time).","Create factor/categorical variable from a continous variable (number/date/time)."
"New variable","New variable"
"Create a new variable based on an R-expression.","Create a new variable based on an R-expression."
"Compare modified data to original","Compare modified data to original"
"Raw print of the original vs the modified data.","Raw print of the original vs the modified data."
"Original data:","Original data:"
"Modified data:","Modified data:"
"Restore original data","Restore original data"
"Reset to original imported dataset. Careful! There is no un-doing.","Reset to original imported dataset. Careful! There is no un-doing."
"Evaluate","Evaluate"
"Characteristics","Characteristics"
"Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.","Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list."
"Compare strata?","Compare strata?"
"Option to perform statistical comparisons between strata in baseline table.","Option to perform statistical comparisons between strata in baseline table."
"Press 'Evaluate' to create the comparison table.","Press 'Evaluate' to create the comparison table."
"Correlations","Correlations"
"To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.","To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'."
"Correlation cut-off","Correlation cut-off"
"Set the cut-off for considered 'highly correlated'.","Set the cut-off for considered 'highly correlated'."
"Missings","Missings"
"Visuals","Visuals"
"Analysis validation","Analysis validation"
"Report","Report"
"Choose your favourite output file format for further work, and download, when the analyses are done.","Choose your favourite output file format for further work, and download, when the analyses are done."
"Factor variable to reorder:","Factor variable to reorder:"
"Sort by levels","Sort by levels"
"Sort by count","Sort by count"
"Create a new variable (otherwise replaces the one selected)","Create a new variable (otherwise replaces the one selected)"
"Update factor variable","Update factor variable"
"Sort count","Sort count"
"Levels","Levels"
"Count","Count"
"Update levels of a factor","Update levels of a factor"
"Update & select variables","Update & select variables"
"Date format:","Date format:"
"Date to use as origin to convert date/datetime:","Date to use as origin to convert date/datetime:"
"Apply changes","Apply changes"
"No data to display.","No data to display."
"Data successfully updated!","Data successfully updated!"
"You removed {p_out} % of observations.","You removed {p_out} % of observations."
"You removed {p_out} % of variables.","You removed {p_out} % of variables."
"There is a total of {p_miss} % missing observations.","There is a total of {p_miss} % missing observations."
"Data includes {n_pairs} pairs of highly correlated variables.","Data includes {n_pairs} pairs of highly correlated variables."
"Class","Class"
"Observations","Observations"
"File upload","File upload"
"REDCap server export","REDCap server export"
"Local or sample data","Local or sample data"
"Data is only stored for analyses and deleted when the app is closed.","Data is only stored for analyses and deleted when the app is closed."
"Documentation","Documentation"
"Feedback","Feedback"
"License: AGPLv3","License: AGPLv3"
"Source","Source"
"Settings","Settings"
"The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).","The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine)."
"Data classes and missing observations","Data classes and missing observations"
"We encountered the following error showing missingness:","We encountered the following error showing missingness:"
"Please confirm data reset!","Please confirm data reset!"
"Sure you want to reset data? This cannot be undone.","Sure you want to reset data? This cannot be undone."
"Confirm","Confirm"
"The filtered data","The filtered data"
"Create new factor","Create new factor"
"This window is aimed at advanced users and require some *R*-experience!","This window is aimed at advanced users and require some *R*-experience!"
"Create new variables","Create new variables"
"Select data types to include","Select data types to include"
"Uploaded data overview","Uploaded data overview"
"We encountered the following error browsing your data:","We encountered the following error browsing your data:"
"Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.","Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias."
"Data import","Data import"
"Data import formatting","Data import formatting"
"Data modifications","Data modifications"
"Variables filter","Variables filter"
"Data filter","Data filter"
"Data characteristics table","Data characteristics table"
"The dataset without text variables","The dataset without text variables"
"The data includes {n_col} variables. Please limit to 100.","The data includes {n_col} variables. Please limit to 100."
"Creating the table. Hold on for a moment..","Creating the table. Hold on for a moment.."
"Generating the report. Hold on for a moment..","Generating the report. Hold on for a moment.."
"We encountered the following error creating your report:","We encountered the following error creating your report:"
"There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data."
"Text or character to split string by","Text or character to split string by"
"Split the variable","Split the variable"
"Variable to split:","Variable to split:"
"Direction:","Direction:"
"Split string to multiple columns. Keep number of rows.","Split string to multiple columns. Keep number of rows."
"Split string to multiple observations (rows) in the same column. Also ads id and instance columns","Split string to multiple observations (rows) in the same column. Also ads id and instance columns"
"Split character string","Split character string"
"Split text","Split text"
"Split a character string by a common delimiter","Split a character string by a common delimiter"
"Select delimiter","Select delimiter"
"Browse data preview","Browse data preview"
"Original data","Original data"
"Preview of result","Preview of result"
"No character variables with accepted delimiters detected.","No character variables with accepted delimiters detected."
"Split a text column by a recognised delimiter.","Split a text column by a recognised delimiter."
"Apply split","Apply split"
"Stacked relative barplot","Stacked relative barplot"
"Create relative stacked barplots to show the distribution of categorical levels","Create relative stacked barplots to show the distribution of categorical levels"
"Side-by-side barplot","Side-by-side barplot"
"Create side-by-side barplot to show the distribution of categorical levels","Create side-by-side barplot to show the distribution of categorical levels"
"Select table theme","Select table theme"
"Level of detail","Level of detail"
"Minimal","Minimal"
"Extensive","Extensive"
"Letters","Letters"
"Words","Words"
"Shorten to first letters","Shorten to first letters"
"Shorten to first words","Shorten to first words"
"Missings across variables by the variable **'{input$missings_var}'**","Missings across variables by the variable **'{input$missings_var}'**"
"Missing vs non-missing observations in the variable **'{input$missings_var}'**","Missing vs non-missing observations in the variable **'{input$missings_var}'**"
"Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.","Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random."
"Calculating. Hold tight for a moment..","Calculating. Hold tight for a moment.."
"Overview of missing observations","Overview of missing observations"
"Analysis method for missingness overview","Analysis method for missingness overview"
"Overview of missings across variables","Overview of missings across variables"
"Overview of difference in variables by missing status in outcome","Overview of difference in variables by missing status in outcome"
"Select a variable for grouped overview","Select a variable for grouped overview"
"Select outcome variable for overview","Select outcome variable for overview"
"No outcome measure chosen","No outcome measure chosen"
"There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.","There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}."
"Include group differences","Include group differences"
"Error:","Error:"
"Download table","Download table"
"Welcome to FreesearchR","Welcome to FreesearchR"
"A free data analysis tool for clinicians, students, and learners","A free data analysis tool for clinicians, students, and learners"
"Core Features","Core Features"
"Import Data","Import Data"
"Data Management","Data Management"
"Filter, modify, and create new variables. Prepare your data efficiently for analysis.","Filter, modify, and create new variables. Prepare your data efficiently for analysis."
"Descriptive Statistics","Descriptive Statistics"
"Additional Capabilities","Additional Capabilities"
"Data Visualization","Data Visualization"
"Create simple, clean plots for quick insights and overview","Create simple, clean plots for quick insights and overview"
"Regression Models","Regression Models"
"Build simple regression models for advanced analysis","Build simple regression models for advanced analysis"
"Export & Learn","Export & Learn"
"Download Results","Download Results"
"Get Modified Data","Get Modified Data"
"Reproducible Code","Reproducible Code"
"Full Documentation","Full Documentation"
"Share Feedback","Share Feedback"
"Contact Us","Contact Us"
"FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org","FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org"
"Home","Home"
"Start with FreesearchR for basic data evaluation and analysis.","Start with FreesearchR for basic data evaluation and analysis."
"When you need more advanced tools, you'll be better prepared to use R directly.","When you need more advanced tools, you'll be better prepared to use R directly."
"(Read more)","(Read more)"
"Run the FreesearchR app locally when working with sensitive data.","Run the FreesearchR app locally when working with sensitive data."
"Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.","Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility."
"Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.","Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively."
"Export results directly to your text editor","Export results directly to your text editor"
"Save your processed datasets for later","Save your processed datasets for later"
"Learn and reproduce results in R","Learn and reproduce results in R"
"When you need more advanced tools, you'll be prepared to use R directly.","When you need more advanced tools, you'll be prepared to use R directly."
1 en de
2 Hello Hallo
3 The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent. The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.
4 No variables have a correlation measure above the threshold. No variables have a correlation measure above the threshold.
5 and and
6 The following error occured on determining correlations: The following error occured on determining correlations:
7 from each pair from each pair
8 New column name: New column name:
9 Group calculation by: Group calculation by:
10 Enter an expression to define new column: Enter an expression to define new column:
11 Click on a column name to add it to the expression: Click on a column name to add it to the expression:
12 Create column Create column
13 Cancel Cancel
14 Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything. Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.
15 New column name cannot be empty New column name cannot be empty
16 Create a new column Create a new column
17 Some operations are not allowed Some operations are not allowed
18 Column added! Column added!
19 Unique values: Unique values:
20 Variable to cut: Variable to cut:
21 Close intervals on the right Close intervals on the right
22 Include lowest value Include lowest value
23 Create factor variable Create factor variable
24 Fixed breaks: Fixed breaks:
25 Method: Method:
26 Other Other
27 Convert Numeric to Factor Convert Numeric to Factor
28 Hour of the day Hour of the day
29 Breaks Breaks
30 By day of the week By day of the week
31 By weekday By weekday
32 By week number and year By week number and year
33 By week number By week number
34 By month and year By month and year
35 By month only By month only
36 By quarter of the year By quarter of the year
37 By year By year
38 Keep only most common Keep only most common
39 Number Number
40 Combine below percentage Combine below percentage
41 Percentage Percentage
42 By specified numbers By specified numbers
43 By quantiles (groups of equal size) By quantiles (groups of equal size)
44 Only non-text variables are available for plotting. Go the "Data" to reclass data to plot. Only non-text variables are available for plotting. Go the "Data" to reclass data to plot.
45 Plot Plot
46 Adjust settings, then press "Plot". Adjust settings, then press "Plot".
47 Plot height (mm) Plot height (mm)
48 Plot width (mm) Plot width (mm)
49 File format File format
50 Download plot Download plot
51 Create plot Create plot
52 Download Download
53 Select variable Select variable
54 Response variable Response variable
55 Plot type Plot type
56 Please select Please select
57 Additional variables Additional variables
58 Secondary variable Secondary variable
59 No variable No variable
60 Grouping variable Grouping variable
61 No stratification No stratification
62 Drawing the plot. Hold tight for a moment.. Drawing the plot. Hold tight for a moment..
63 #Plotting\n #Plotting\n
64 Stacked horizontal bars Stacked horizontal bars
65 A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars
66 Violin plot Violin plot
67 A modern alternative to the classic boxplot to visualise data distribution A modern alternative to the classic boxplot to visualise data distribution
68 Sankey plot Sankey plot
69 A way of visualising change between groups A way of visualising change between groups
70 Scatter plot Scatter plot
71 A classic way of showing the association between to variables A classic way of showing the association between to variables
72 Box plot Box plot
73 A classic way to plot data distribution by groups A classic way to plot data distribution by groups
74 Euler diagram Euler diagram
75 Generate area-proportional Euler diagrams to display set relationships Generate area-proportional Euler diagrams to display set relationships
76 Unique: Unique:
77 Missing: Missing:
78 Most Common: Most Common:
79 Min: Min:
80 Mean: Mean:
81 Median: Median:
82 Max: Max:
83 {data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases. {data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.
84 Import a dataset from an environment Import a dataset from an environment
85 Select a data source: Select a data source:
86 Select source Select source
87 Select a dataset: Select a dataset:
88 List of datasets... List of datasets...
89 No data selected! No data selected!
90 Use a dataset from your environment or from the environment of a package. Use a dataset from your environment or from the environment of a package.
91 No dataset here... No dataset here...
92 Imported data Imported data
93 Not a data.frame Not a data.frame
94 Rows to skip before reading data: Rows to skip before reading data:
95 Missing values character(s): Missing values character(s):
96 if several use a comma (',') to separate them if several use a comma (',') to separate them
97 Decimal separator: Decimal separator:
98 Encoding: Encoding:
99 Upload a file: Upload a file:
100 Browse... Browse...
101 Select sheet to import: Select sheet to import:
102 No file selected. No file selected.
103 You can choose between these file types: You can choose between these file types:
104 You can import {file_extensions_text} files You can import {file_extensions_text} files
105 First five rows are shown below: First five rows are shown below:
106 No missing observations No missing observations
107 Grouped by {get_label(data,ter)} Grouped by {get_label(data,ter)}
108 Import data from REDCap Import data from REDCap
109 REDCap server REDCap server
110 Web address Web address
111 Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/' Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'
112 API token API token
113 The token is a string of 32 numbers and letters. The token is a string of 32 numbers and letters.
114 Connect Connect
115 Please fill in web address and API token, then press 'Connect'. Please fill in web address and API token, then press 'Connect'.
116 Data import parameters Data import parameters
117 Select fields/variables to import and click the funnel to apply optional filters Select fields/variables to import and click the funnel to apply optional filters
118 Import Import
119 Click to see data dictionary Click to see data dictionary
120 Connected to server! Connected to server!
121 The {data_rv$info$project_title} project is loaded. The {data_rv$info$project_title} project is loaded.
122 Data dictionary Data dictionary
123 Preview: Preview:
124 Imported data set Imported data set
125 Select fields/variables to import: Select fields/variables to import:
126 Specify the data format Specify the data format
127 Fill missing values? Fill missing values?
128 Requested data was retrieved! Requested data was retrieved!
129 Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.
130 Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.
131 Click to see the imported data Click to see the imported data
132 Regression table Regression table
133 Regression Regression
134 Specify covariables Specify covariables
135 If none are selected, all are included. If none are selected, all are included.
136 Analyse Analyse
137 Working... Working...
138 Press 'Analyse' to create the regression model and after changing parameters. Press 'Analyse' to create the regression model and after changing parameters.
139 Coefficient plot Coefficient plot
140 Model checks Model checks
141 Coefficients plot Coefficients plot
142 Checks Checks
143 Yes Yes
144 No No
145 Show p-value Show p-value
146 Select outcome variable Select outcome variable
147 Choose regression analysis Choose regression analysis
148 Covariables to format as categorical Covariables to format as categorical
149 Select variable to stratify baseline Select variable to stratify baseline
150 Select models to plot Select models to plot
151 Creating regression models failed with the following error: Creating regression models failed with the following error:
152 Creating a regression table failed with the following error: Creating a regression table failed with the following error:
153 Saving the plot. Hold on for a moment.. Saving the plot. Hold on for a moment..
154 Running model assumptions checks failed with the following error: Running model assumptions checks failed with the following error:
155 Select checks to plot Select checks to plot
156 Multivariable regression model checks Multivariable regression model checks
157 www/intro.html www/intro.html
158 www/intro.md www/intro.md
159 Get started Get started
160 Choose your data Choose your data
161 Upload a file, get data directly from REDCap or use local or sample data. Upload a file, get data directly from REDCap or use local or sample data.
162 Please be mindfull handling sensitive data Please be mindfull handling sensitive data
163 <p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p> <p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>
164 Quick overview Quick overview
165 Select variables for final import Select variables for final import
166 Exclude incomplete variables: Exclude incomplete variables:
167 At 0, only complete variables are included; at 100, all variables are included. At 0, only complete variables are included; at 100, all variables are included.
168 Manual selection: Manual selection:
169 Let's begin! Let's begin!
170 Prepare Prepare
171 Overview and filter Overview and filter
172 Overview and filtering Overview and filtering
173 Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters. Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters.
174 Visual overview Visual overview
175 Browse observations Browse observations
176 Filter data types Filter data types
177 Filter observations Filter observations
178 Apply filter on observation Apply filter on observation
179 Edit and create data Edit and create data
180 Subset, rename and convert variables Subset, rename and convert variables
181 Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.). Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).
182 Please note that data modifications are applied before any filtering. Please note that data modifications are applied before any filtering.
183 Advanced data manipulation Advanced data manipulation
184 Below options allow more advanced varaible manipulations. Below options allow more advanced varaible manipulations.
185 Reorder factor levels Reorder factor levels
186 Reorder the levels of factor/categorical variables. Reorder the levels of factor/categorical variables.
187 New factor New factor
188 Create factor/categorical variable from a continous variable (number/date/time). Create factor/categorical variable from a continous variable (number/date/time).
189 New variable New variable
190 Create a new variable based on an R-expression. Create a new variable based on an R-expression.
191 Compare modified data to original Compare modified data to original
192 Raw print of the original vs the modified data. Raw print of the original vs the modified data.
193 Original data: Original data:
194 Modified data: Modified data:
195 Restore original data Restore original data
196 Reset to original imported dataset. Careful! There is no un-doing. Reset to original imported dataset. Careful! There is no un-doing.
197 Evaluate Evaluate
198 Characteristics Characteristics
199 Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list. Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.
200 Compare strata? Compare strata?
201 Option to perform statistical comparisons between strata in baseline table. Option to perform statistical comparisons between strata in baseline table.
202 Press 'Evaluate' to create the comparison table. Press 'Evaluate' to create the comparison table.
203 Correlations Correlations
204 To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'. To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.
205 Correlation cut-off Correlation cut-off
206 Set the cut-off for considered 'highly correlated'. Set the cut-off for considered 'highly correlated'.
207 Missings Missings
208 Visuals Visuals
209 Analysis validation Analysis validation
210 Report Report
211 Choose your favourite output file format for further work, and download, when the analyses are done. Choose your favourite output file format for further work, and download, when the analyses are done.
212 Factor variable to reorder: Factor variable to reorder:
213 Sort by levels Sort by levels
214 Sort by count Sort by count
215 Create a new variable (otherwise replaces the one selected) Create a new variable (otherwise replaces the one selected)
216 Update factor variable Update factor variable
217 Sort count Sort count
218 Levels Levels
219 Count Count
220 Update levels of a factor Update levels of a factor
221 Update & select variables Update & select variables
222 Date format: Date format:
223 Date to use as origin to convert date/datetime: Date to use as origin to convert date/datetime:
224 Apply changes Apply changes
225 No data to display. No data to display.
226 Data successfully updated! Data successfully updated!
227 You removed {p_out} % of observations. You removed {p_out} % of observations.
228 You removed {p_out} % of variables. You removed {p_out} % of variables.
229 There is a total of {p_miss} % missing observations. There is a total of {p_miss} % missing observations.
230 Data includes {n_pairs} pairs of highly correlated variables. Data includes {n_pairs} pairs of highly correlated variables.
231 Class Class
232 Observations Observations
233 File upload File upload
234 REDCap server export REDCap server export
235 Local or sample data Local or sample data
236 Data is only stored for analyses and deleted when the app is closed. Data is only stored for analyses and deleted when the app is closed.
237 Documentation Documentation
238 Feedback Feedback
239 License: AGPLv3 License: AGPLv3
240 Source Source
241 Settings Settings
242 The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine). The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).
243 Data classes and missing observations Data classes and missing observations
244 We encountered the following error showing missingness: We encountered the following error showing missingness:
245 Please confirm data reset! Please confirm data reset!
246 Sure you want to reset data? This cannot be undone. Sure you want to reset data? This cannot be undone.
247 Confirm Confirm
248 The filtered data The filtered data
249 Create new factor Create new factor
250 This window is aimed at advanced users and require some *R*-experience! This window is aimed at advanced users and require some *R*-experience!
251 Create new variables Create new variables
252 Select data types to include Select data types to include
253 Uploaded data overview Uploaded data overview
254 We encountered the following error browsing your data: We encountered the following error browsing your data:
255 Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias. Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.
256 Data import Data import
257 Data import formatting Data import formatting
258 Data modifications Data modifications
259 Variables filter Variables filter
260 Data filter Data filter
261 Data characteristics table Data characteristics table
262 The dataset without text variables The dataset without text variables
263 The data includes {n_col} variables. Please limit to 100. The data includes {n_col} variables. Please limit to 100.
264 Creating the table. Hold on for a moment.. Creating the table. Hold on for a moment..
265 Generating the report. Hold on for a moment.. Generating the report. Hold on for a moment..
266 We encountered the following error creating your report: We encountered the following error creating your report:
267 There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data. There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.
268 Text or character to split string by Text or character to split string by
269 Split the variable Split the variable
270 Variable to split: Variable to split:
271 Direction: Direction:
272 Split string to multiple columns. Keep number of rows. Split string to multiple columns. Keep number of rows.
273 Split string to multiple observations (rows) in the same column. Also ads id and instance columns Split string to multiple observations (rows) in the same column. Also ads id and instance columns
274 Split character string Split character string
275 Split text Split text
276 Split a character string by a common delimiter Split a character string by a common delimiter
277 Select delimiter Select delimiter
278 Browse data preview Browse data preview
279 Original data Original data
280 Preview of result Preview of result
281 No character variables with accepted delimiters detected. No character variables with accepted delimiters detected.
282 Split a text column by a recognised delimiter. Split a text column by a recognised delimiter.
283 Apply split Apply split
284 Stacked relative barplot Stacked relative barplot
285 Create relative stacked barplots to show the distribution of categorical levels Create relative stacked barplots to show the distribution of categorical levels
286 Side-by-side barplot Side-by-side barplot
287 Create side-by-side barplot to show the distribution of categorical levels Create side-by-side barplot to show the distribution of categorical levels
288 Select table theme Select table theme
289 Level of detail Level of detail
290 Minimal Minimal
291 Extensive Extensive
292 Letters Letters
293 Words Words
294 Shorten to first letters Shorten to first letters
295 Shorten to first words Shorten to first words
296 Missings across variables by the variable **'{input$missings_var}'** Missings across variables by the variable **'{input$missings_var}'**
297 Missing vs non-missing observations in the variable **'{input$missings_var}'** Missing vs non-missing observations in the variable **'{input$missings_var}'**
298 Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random. Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.
299 Calculating. Hold tight for a moment.. Calculating. Hold tight for a moment..
300 Overview of missing observations Overview of missing observations
301 Analysis method for missingness overview Analysis method for missingness overview
302 Overview of missings across variables Overview of missings across variables
303 Overview of difference in variables by missing status in outcome Overview of difference in variables by missing status in outcome
304 Select a variable for grouped overview Select a variable for grouped overview
305 Select outcome variable for overview Select outcome variable for overview
306 No outcome measure chosen No outcome measure chosen
307 There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}. There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.
308 Include group differences Include group differences
309 Error: Error:
310 Download table Download table
311 Welcome to FreesearchR Welcome to FreesearchR
312 A free data analysis tool for clinicians, students, and learners A free data analysis tool for clinicians, students, and learners
313 Core Features Core Features
314 Import Data Import Data
315 Data Management Data Management
316 Filter, modify, and create new variables. Prepare your data efficiently for analysis. Filter, modify, and create new variables. Prepare your data efficiently for analysis.
317 Descriptive Statistics Descriptive Statistics
318 Additional Capabilities Additional Capabilities
319 Data Visualization Data Visualization
320 Create simple, clean plots for quick insights and overview Create simple, clean plots for quick insights and overview
321 Regression Models Regression Models
322 Build simple regression models for advanced analysis Build simple regression models for advanced analysis
323 Export & Learn Export & Learn
324 Download Results Download Results
325 Get Modified Data Get Modified Data
326 Reproducible Code Reproducible Code
327 Full Documentation Full Documentation
328 Share Feedback Share Feedback
329 Contact Us Contact Us
330 FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org
331 Home Home
332 Start with FreesearchR for basic data evaluation and analysis. Start with FreesearchR for basic data evaluation and analysis.
333 When you need more advanced tools, you'll be better prepared to use R directly. When you need more advanced tools, you'll be better prepared to use R directly.
334 (Read more) (Read more)
335 Run the FreesearchR app locally when working with sensitive data. Run the FreesearchR app locally when working with sensitive data.
336 Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility. Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.
337 Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively. Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.
338 Export results directly to your text editor Export results directly to your text editor
339 Save your processed datasets for later Save your processed datasets for later
340 Learn and reproduce results in R Learn and reproduce results in R
341 When you need more advanced tools, you'll be prepared to use R directly. When you need more advanced tools, you'll be prepared to use R directly.

View file

@ -0,0 +1,341 @@
"en","sv"
"Hello","Hei"
"The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.","The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent."
"No variables have a correlation measure above the threshold.","No variables have a correlation measure above the threshold."
"and","and"
"The following error occured on determining correlations:","The following error occured on determining correlations:"
"from each pair","from each pair"
"New column name:","New column name:"
"Group calculation by:","Group calculation by:"
"Enter an expression to define new column:","Enter an expression to define new column:"
"Click on a column name to add it to the expression:","Click on a column name to add it to the expression:"
"Create column","Create column"
"Cancel","Cancel"
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything."
"New column name cannot be empty","New column name cannot be empty"
"Create a new column","Create a new column"
"Some operations are not allowed","Some operations are not allowed"
"Column added!","Column added!"
"Unique values:","Unique values:"
"Variable to cut:","Variable to cut:"
"Close intervals on the right","Close intervals on the right"
"Include lowest value","Include lowest value"
"Create factor variable","Create factor variable"
"Fixed breaks:","Fixed breaks:"
"Method:","Method:"
"Other","Other"
"Convert Numeric to Factor","Convert Numeric to Factor"
"Hour of the day","Hour of the day"
"Breaks","Breaks"
"By day of the week","By day of the week"
"By weekday","By weekday"
"By week number and year","By week number and year"
"By week number","By week number"
"By month and year","By month and year"
"By month only","By month only"
"By quarter of the year","By quarter of the year"
"By year","By year"
"Keep only most common","Keep only most common"
"Number","Number"
"Combine below percentage","Combine below percentage"
"Percentage","Percentage"
"By specified numbers","By specified numbers"
"By quantiles (groups of equal size)","By quantiles (groups of equal size)"
"Only non-text variables are available for plotting. Go the ""Data"" to reclass data to plot.","Only non-text variables are available for plotting. Go the ""Data"" to reclass data to plot."
"Plot","Plot"
"Adjust settings, then press ""Plot"".","Adjust settings, then press ""Plot""."
"Plot height (mm)","Plot height (mm)"
"Plot width (mm)","Plot width (mm)"
"File format","File format"
"Download plot","Download plot"
"Create plot","Create plot"
"Download","Download"
"Select variable","Select variable"
"Response variable","Response variable"
"Plot type","Plot type"
"Please select","Please select"
"Additional variables","Additional variables"
"Secondary variable","Secondary variable"
"No variable","No variable"
"Grouping variable","Grouping variable"
"No stratification","No stratification"
"Drawing the plot. Hold tight for a moment..","Drawing the plot. Hold tight for a moment.."
"#Plotting\n","#Plotting\n"
"Stacked horizontal bars","Stacked horizontal bars"
"A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars","A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars"
"Violin plot","Violin plot"
"A modern alternative to the classic boxplot to visualise data distribution","A modern alternative to the classic boxplot to visualise data distribution"
"Sankey plot","Sankey plot"
"A way of visualising change between groups","A way of visualising change between groups"
"Scatter plot","Scatter plot"
"A classic way of showing the association between to variables","A classic way of showing the association between to variables"
"Box plot","Box plot"
"A classic way to plot data distribution by groups","A classic way to plot data distribution by groups"
"Euler diagram","Euler diagram"
"Generate area-proportional Euler diagrams to display set relationships","Generate area-proportional Euler diagrams to display set relationships"
"Unique:","Unique:"
"Missing:","Missing:"
"Most Common:","Most Common:"
"Min:","Min:"
"Mean:","Mean:"
"Median:","Median:"
"Max:","Max:"
"{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.","{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases."
"Import a dataset from an environment","Import a dataset from an environment"
"Select a data source:","Select a data source:"
"Select source","Select source"
"Select a dataset:","Select a dataset:"
"List of datasets...","List of datasets..."
"No data selected!","No data selected!"
"Use a dataset from your environment or from the environment of a package.","Use a dataset from your environment or from the environment of a package."
"No dataset here...","No dataset here..."
"Imported data","Imported data"
"Not a data.frame","Not a data.frame"
"Rows to skip before reading data:","Rows to skip before reading data:"
"Missing values character(s):","Missing values character(s):"
"if several use a comma (',') to separate them","if several use a comma (',') to separate them"
"Decimal separator:","Decimal separator:"
"Encoding:","Encoding:"
"Upload a file:","Upload a file:"
"Browse...","Browse..."
"Select sheet to import:","Select sheet to import:"
"No file selected.","No file selected."
"You can choose between these file types:","You can choose between these file types:"
"You can import {file_extensions_text} files","You can import {file_extensions_text} files"
"First five rows are shown below:","First five rows are shown below:"
"No missing observations","No missing observations"
"Grouped by {get_label(data,ter)}","Grouped by {get_label(data,ter)}"
"Import data from REDCap","Import data from REDCap"
"REDCap server","REDCap server"
"Web address","Web address"
"Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'","Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'"
"API token","API token"
"The token is a string of 32 numbers and letters.","The token is a string of 32 numbers and letters."
"Connect","Connect"
"Please fill in web address and API token, then press 'Connect'.","Please fill in web address and API token, then press 'Connect'."
"Data import parameters","Data import parameters"
"Select fields/variables to import and click the funnel to apply optional filters","Select fields/variables to import and click the funnel to apply optional filters"
"Import","Import"
"Click to see data dictionary","Click to see data dictionary"
"Connected to server!","Connected to server!"
"The {data_rv$info$project_title} project is loaded.","The {data_rv$info$project_title} project is loaded."
"Data dictionary","Data dictionary"
"Preview:","Preview:"
"Imported data set","Imported data set"
"Select fields/variables to import:","Select fields/variables to import:"
"Specify the data format","Specify the data format"
"Fill missing values?","Fill missing values?"
"Requested data was retrieved!","Requested data was retrieved!"
"Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access."
"Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access."
"Click to see the imported data","Click to see the imported data"
"Regression table","Regression table"
"Regression","Regression"
"Specify covariables","Specify covariables"
"If none are selected, all are included.","If none are selected, all are included."
"Analyse","Analyse"
"Working...","Working..."
"Press 'Analyse' to create the regression model and after changing parameters.","Press 'Analyse' to create the regression model and after changing parameters."
"Coefficient plot","Coefficient plot"
"Model checks","Model checks"
"Coefficients plot","Coefficients plot"
"Checks","Checks"
"Yes","Yes"
"No","No"
"Show p-value","Show p-value"
"Select outcome variable","Select outcome variable"
"Choose regression analysis","Choose regression analysis"
"Covariables to format as categorical","Covariables to format as categorical"
"Select variable to stratify baseline","Select variable to stratify baseline"
"Select models to plot","Select models to plot"
"Creating regression models failed with the following error:","Creating regression models failed with the following error:"
"Creating a regression table failed with the following error:","Creating a regression table failed with the following error:"
"Saving the plot. Hold on for a moment..","Saving the plot. Hold on for a moment.."
"Running model assumptions checks failed with the following error:","Running model assumptions checks failed with the following error:"
"Select checks to plot","Select checks to plot"
"Multivariable regression model checks","Multivariable regression model checks"
"www/intro.html","www/intro.html"
"www/intro.md","www/intro.md"
"Get started","Get started"
"Choose your data","Choose your data"
"Upload a file, get data directly from REDCap or use local or sample data.","Upload a file, get data directly from REDCap or use local or sample data."
"Please be mindfull handling sensitive data","Please be mindfull handling sensitive data"
"<p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>","<p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>"
"Quick overview","Quick overview"
"Select variables for final import","Select variables for final import"
"Exclude incomplete variables:","Exclude incomplete variables:"
"At 0, only complete variables are included; at 100, all variables are included.","At 0, only complete variables are included; at 100, all variables are included."
"Manual selection:","Manual selection:"
"Let's begin!","Let's begin!"
"Prepare","Prepare"
"Overview and filter","Overview and filter"
"Overview and filtering","Overview and filtering"
"Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters.","Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters."
"Visual overview","Visual overview"
"Browse observations","Browse observations"
"Filter data types","Filter data types"
"Filter observations","Filter observations"
"Apply filter on observation","Apply filter on observation"
"Edit and create data","Edit and create data"
"Subset, rename and convert variables","Subset, rename and convert variables"
"Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).","Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.)."
"Please note that data modifications are applied before any filtering.","Please note that data modifications are applied before any filtering."
"Advanced data manipulation","Advanced data manipulation"
"Below options allow more advanced varaible manipulations.","Below options allow more advanced varaible manipulations."
"Reorder factor levels","Reorder factor levels"
"Reorder the levels of factor/categorical variables.","Reorder the levels of factor/categorical variables."
"New factor","New factor"
"Create factor/categorical variable from a continous variable (number/date/time).","Create factor/categorical variable from a continous variable (number/date/time)."
"New variable","New variable"
"Create a new variable based on an R-expression.","Create a new variable based on an R-expression."
"Compare modified data to original","Compare modified data to original"
"Raw print of the original vs the modified data.","Raw print of the original vs the modified data."
"Original data:","Original data:"
"Modified data:","Modified data:"
"Restore original data","Restore original data"
"Reset to original imported dataset. Careful! There is no un-doing.","Reset to original imported dataset. Careful! There is no un-doing."
"Evaluate","Evaluate"
"Characteristics","Characteristics"
"Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.","Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list."
"Compare strata?","Compare strata?"
"Option to perform statistical comparisons between strata in baseline table.","Option to perform statistical comparisons between strata in baseline table."
"Press 'Evaluate' to create the comparison table.","Press 'Evaluate' to create the comparison table."
"Correlations","Correlations"
"To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.","To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'."
"Correlation cut-off","Correlation cut-off"
"Set the cut-off for considered 'highly correlated'.","Set the cut-off for considered 'highly correlated'."
"Missings","Missings"
"Visuals","Visuals"
"Analysis validation","Analysis validation"
"Report","Report"
"Choose your favourite output file format for further work, and download, when the analyses are done.","Choose your favourite output file format for further work, and download, when the analyses are done."
"Factor variable to reorder:","Factor variable to reorder:"
"Sort by levels","Sort by levels"
"Sort by count","Sort by count"
"Create a new variable (otherwise replaces the one selected)","Create a new variable (otherwise replaces the one selected)"
"Update factor variable","Update factor variable"
"Sort count","Sort count"
"Levels","Levels"
"Count","Count"
"Update levels of a factor","Update levels of a factor"
"Update & select variables","Update & select variables"
"Date format:","Date format:"
"Date to use as origin to convert date/datetime:","Date to use as origin to convert date/datetime:"
"Apply changes","Apply changes"
"No data to display.","No data to display."
"Data successfully updated!","Data successfully updated!"
"You removed {p_out} % of observations.","You removed {p_out} % of observations."
"You removed {p_out} % of variables.","You removed {p_out} % of variables."
"There is a total of {p_miss} % missing observations.","There is a total of {p_miss} % missing observations."
"Data includes {n_pairs} pairs of highly correlated variables.","Data includes {n_pairs} pairs of highly correlated variables."
"Class","Class"
"Observations","Observations"
"File upload","File upload"
"REDCap server export","REDCap server export"
"Local or sample data","Local or sample data"
"Data is only stored for analyses and deleted when the app is closed.","Data is only stored for analyses and deleted when the app is closed."
"Documentation","Documentation"
"Feedback","Feedback"
"License: AGPLv3","License: AGPLv3"
"Source","Source"
"Settings","Settings"
"The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).","The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine)."
"Data classes and missing observations","Data classes and missing observations"
"We encountered the following error showing missingness:","We encountered the following error showing missingness:"
"Please confirm data reset!","Please confirm data reset!"
"Sure you want to reset data? This cannot be undone.","Sure you want to reset data? This cannot be undone."
"Confirm","Confirm"
"The filtered data","The filtered data"
"Create new factor","Create new factor"
"This window is aimed at advanced users and require some *R*-experience!","This window is aimed at advanced users and require some *R*-experience!"
"Create new variables","Create new variables"
"Select data types to include","Select data types to include"
"Uploaded data overview","Uploaded data overview"
"We encountered the following error browsing your data:","We encountered the following error browsing your data:"
"Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.","Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias."
"Data import","Data import"
"Data import formatting","Data import formatting"
"Data modifications","Data modifications"
"Variables filter","Variables filter"
"Data filter","Data filter"
"Data characteristics table","Data characteristics table"
"The dataset without text variables","The dataset without text variables"
"The data includes {n_col} variables. Please limit to 100.","The data includes {n_col} variables. Please limit to 100."
"Creating the table. Hold on for a moment..","Creating the table. Hold on for a moment.."
"Generating the report. Hold on for a moment..","Generating the report. Hold on for a moment.."
"We encountered the following error creating your report:","We encountered the following error creating your report:"
"There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data."
"Text or character to split string by","Text or character to split string by"
"Split the variable","Split the variable"
"Variable to split:","Variable to split:"
"Direction:","Direction:"
"Split string to multiple columns. Keep number of rows.","Split string to multiple columns. Keep number of rows."
"Split string to multiple observations (rows) in the same column. Also ads id and instance columns","Split string to multiple observations (rows) in the same column. Also ads id and instance columns"
"Split character string","Split character string"
"Split text","Split text"
"Split a character string by a common delimiter","Split a character string by a common delimiter"
"Select delimiter","Select delimiter"
"Browse data preview","Browse data preview"
"Original data","Original data"
"Preview of result","Preview of result"
"No character variables with accepted delimiters detected.","No character variables with accepted delimiters detected."
"Split a text column by a recognised delimiter.","Split a text column by a recognised delimiter."
"Apply split","Apply split"
"Stacked relative barplot","Stacked relative barplot"
"Create relative stacked barplots to show the distribution of categorical levels","Create relative stacked barplots to show the distribution of categorical levels"
"Side-by-side barplot","Side-by-side barplot"
"Create side-by-side barplot to show the distribution of categorical levels","Create side-by-side barplot to show the distribution of categorical levels"
"Select table theme","Select table theme"
"Level of detail","Level of detail"
"Minimal","Minimal"
"Extensive","Extensive"
"Letters","Letters"
"Words","Words"
"Shorten to first letters","Shorten to first letters"
"Shorten to first words","Shorten to first words"
"Missings across variables by the variable **'{input$missings_var}'**","Missings across variables by the variable **'{input$missings_var}'**"
"Missing vs non-missing observations in the variable **'{input$missings_var}'**","Missing vs non-missing observations in the variable **'{input$missings_var}'**"
"Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.","Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random."
"Calculating. Hold tight for a moment..","Calculating. Hold tight for a moment.."
"Overview of missing observations","Overview of missing observations"
"Analysis method for missingness overview","Analysis method for missingness overview"
"Overview of missings across variables","Overview of missings across variables"
"Overview of difference in variables by missing status in outcome","Overview of difference in variables by missing status in outcome"
"Select a variable for grouped overview","Select a variable for grouped overview"
"Select outcome variable for overview","Select outcome variable for overview"
"No outcome measure chosen","No outcome measure chosen"
"There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.","There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}."
"Include group differences","Include group differences"
"Error:","Error:"
"Download table","Download table"
"Welcome to FreesearchR","Welcome to FreesearchR"
"A free data analysis tool for clinicians, students, and learners","A free data analysis tool for clinicians, students, and learners"
"Core Features","Core Features"
"Import Data","Import Data"
"Data Management","Data Management"
"Filter, modify, and create new variables. Prepare your data efficiently for analysis.","Filter, modify, and create new variables. Prepare your data efficiently for analysis."
"Descriptive Statistics","Descriptive Statistics"
"Additional Capabilities","Additional Capabilities"
"Data Visualization","Data Visualization"
"Create simple, clean plots for quick insights and overview","Create simple, clean plots for quick insights and overview"
"Regression Models","Regression Models"
"Build simple regression models for advanced analysis","Build simple regression models for advanced analysis"
"Export & Learn","Export & Learn"
"Download Results","Download Results"
"Get Modified Data","Get Modified Data"
"Reproducible Code","Reproducible Code"
"Full Documentation","Full Documentation"
"Share Feedback","Share Feedback"
"Contact Us","Contact Us"
"FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org","FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org"
"Home","Home"
"Start with FreesearchR for basic data evaluation and analysis.","Start with FreesearchR for basic data evaluation and analysis."
"When you need more advanced tools, you'll be better prepared to use R directly.","When you need more advanced tools, you'll be better prepared to use R directly."
"(Read more)","(Read more)"
"Run the FreesearchR app locally when working with sensitive data.","Run the FreesearchR app locally when working with sensitive data."
"Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.","Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility."
"Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.","Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively."
"Export results directly to your text editor","Export results directly to your text editor"
"Save your processed datasets for later","Save your processed datasets for later"
"Learn and reproduce results in R","Learn and reproduce results in R"
"When you need more advanced tools, you'll be prepared to use R directly.","When you need more advanced tools, you'll be prepared to use R directly."
1 en sv
2 Hello Hei
3 The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent. The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.
4 No variables have a correlation measure above the threshold. No variables have a correlation measure above the threshold.
5 and and
6 The following error occured on determining correlations: The following error occured on determining correlations:
7 from each pair from each pair
8 New column name: New column name:
9 Group calculation by: Group calculation by:
10 Enter an expression to define new column: Enter an expression to define new column:
11 Click on a column name to add it to the expression: Click on a column name to add it to the expression:
12 Create column Create column
13 Cancel Cancel
14 Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything. Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.
15 New column name cannot be empty New column name cannot be empty
16 Create a new column Create a new column
17 Some operations are not allowed Some operations are not allowed
18 Column added! Column added!
19 Unique values: Unique values:
20 Variable to cut: Variable to cut:
21 Close intervals on the right Close intervals on the right
22 Include lowest value Include lowest value
23 Create factor variable Create factor variable
24 Fixed breaks: Fixed breaks:
25 Method: Method:
26 Other Other
27 Convert Numeric to Factor Convert Numeric to Factor
28 Hour of the day Hour of the day
29 Breaks Breaks
30 By day of the week By day of the week
31 By weekday By weekday
32 By week number and year By week number and year
33 By week number By week number
34 By month and year By month and year
35 By month only By month only
36 By quarter of the year By quarter of the year
37 By year By year
38 Keep only most common Keep only most common
39 Number Number
40 Combine below percentage Combine below percentage
41 Percentage Percentage
42 By specified numbers By specified numbers
43 By quantiles (groups of equal size) By quantiles (groups of equal size)
44 Only non-text variables are available for plotting. Go the "Data" to reclass data to plot. Only non-text variables are available for plotting. Go the "Data" to reclass data to plot.
45 Plot Plot
46 Adjust settings, then press "Plot". Adjust settings, then press "Plot".
47 Plot height (mm) Plot height (mm)
48 Plot width (mm) Plot width (mm)
49 File format File format
50 Download plot Download plot
51 Create plot Create plot
52 Download Download
53 Select variable Select variable
54 Response variable Response variable
55 Plot type Plot type
56 Please select Please select
57 Additional variables Additional variables
58 Secondary variable Secondary variable
59 No variable No variable
60 Grouping variable Grouping variable
61 No stratification No stratification
62 Drawing the plot. Hold tight for a moment.. Drawing the plot. Hold tight for a moment..
63 #Plotting\n #Plotting\n
64 Stacked horizontal bars Stacked horizontal bars
65 A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars
66 Violin plot Violin plot
67 A modern alternative to the classic boxplot to visualise data distribution A modern alternative to the classic boxplot to visualise data distribution
68 Sankey plot Sankey plot
69 A way of visualising change between groups A way of visualising change between groups
70 Scatter plot Scatter plot
71 A classic way of showing the association between to variables A classic way of showing the association between to variables
72 Box plot Box plot
73 A classic way to plot data distribution by groups A classic way to plot data distribution by groups
74 Euler diagram Euler diagram
75 Generate area-proportional Euler diagrams to display set relationships Generate area-proportional Euler diagrams to display set relationships
76 Unique: Unique:
77 Missing: Missing:
78 Most Common: Most Common:
79 Min: Min:
80 Mean: Mean:
81 Median: Median:
82 Max: Max:
83 {data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases. {data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.
84 Import a dataset from an environment Import a dataset from an environment
85 Select a data source: Select a data source:
86 Select source Select source
87 Select a dataset: Select a dataset:
88 List of datasets... List of datasets...
89 No data selected! No data selected!
90 Use a dataset from your environment or from the environment of a package. Use a dataset from your environment or from the environment of a package.
91 No dataset here... No dataset here...
92 Imported data Imported data
93 Not a data.frame Not a data.frame
94 Rows to skip before reading data: Rows to skip before reading data:
95 Missing values character(s): Missing values character(s):
96 if several use a comma (',') to separate them if several use a comma (',') to separate them
97 Decimal separator: Decimal separator:
98 Encoding: Encoding:
99 Upload a file: Upload a file:
100 Browse... Browse...
101 Select sheet to import: Select sheet to import:
102 No file selected. No file selected.
103 You can choose between these file types: You can choose between these file types:
104 You can import {file_extensions_text} files You can import {file_extensions_text} files
105 First five rows are shown below: First five rows are shown below:
106 No missing observations No missing observations
107 Grouped by {get_label(data,ter)} Grouped by {get_label(data,ter)}
108 Import data from REDCap Import data from REDCap
109 REDCap server REDCap server
110 Web address Web address
111 Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/' Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'
112 API token API token
113 The token is a string of 32 numbers and letters. The token is a string of 32 numbers and letters.
114 Connect Connect
115 Please fill in web address and API token, then press 'Connect'. Please fill in web address and API token, then press 'Connect'.
116 Data import parameters Data import parameters
117 Select fields/variables to import and click the funnel to apply optional filters Select fields/variables to import and click the funnel to apply optional filters
118 Import Import
119 Click to see data dictionary Click to see data dictionary
120 Connected to server! Connected to server!
121 The {data_rv$info$project_title} project is loaded. The {data_rv$info$project_title} project is loaded.
122 Data dictionary Data dictionary
123 Preview: Preview:
124 Imported data set Imported data set
125 Select fields/variables to import: Select fields/variables to import:
126 Specify the data format Specify the data format
127 Fill missing values? Fill missing values?
128 Requested data was retrieved! Requested data was retrieved!
129 Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.
130 Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.
131 Click to see the imported data Click to see the imported data
132 Regression table Regression table
133 Regression Regression
134 Specify covariables Specify covariables
135 If none are selected, all are included. If none are selected, all are included.
136 Analyse Analyse
137 Working... Working...
138 Press 'Analyse' to create the regression model and after changing parameters. Press 'Analyse' to create the regression model and after changing parameters.
139 Coefficient plot Coefficient plot
140 Model checks Model checks
141 Coefficients plot Coefficients plot
142 Checks Checks
143 Yes Yes
144 No No
145 Show p-value Show p-value
146 Select outcome variable Select outcome variable
147 Choose regression analysis Choose regression analysis
148 Covariables to format as categorical Covariables to format as categorical
149 Select variable to stratify baseline Select variable to stratify baseline
150 Select models to plot Select models to plot
151 Creating regression models failed with the following error: Creating regression models failed with the following error:
152 Creating a regression table failed with the following error: Creating a regression table failed with the following error:
153 Saving the plot. Hold on for a moment.. Saving the plot. Hold on for a moment..
154 Running model assumptions checks failed with the following error: Running model assumptions checks failed with the following error:
155 Select checks to plot Select checks to plot
156 Multivariable regression model checks Multivariable regression model checks
157 www/intro.html www/intro.html
158 www/intro.md www/intro.md
159 Get started Get started
160 Choose your data Choose your data
161 Upload a file, get data directly from REDCap or use local or sample data. Upload a file, get data directly from REDCap or use local or sample data.
162 Please be mindfull handling sensitive data Please be mindfull handling sensitive data
163 <p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p> <p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>
164 Quick overview Quick overview
165 Select variables for final import Select variables for final import
166 Exclude incomplete variables: Exclude incomplete variables:
167 At 0, only complete variables are included; at 100, all variables are included. At 0, only complete variables are included; at 100, all variables are included.
168 Manual selection: Manual selection:
169 Let's begin! Let's begin!
170 Prepare Prepare
171 Overview and filter Overview and filter
172 Overview and filtering Overview and filtering
173 Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters. Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters.
174 Visual overview Visual overview
175 Browse observations Browse observations
176 Filter data types Filter data types
177 Filter observations Filter observations
178 Apply filter on observation Apply filter on observation
179 Edit and create data Edit and create data
180 Subset, rename and convert variables Subset, rename and convert variables
181 Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.). Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).
182 Please note that data modifications are applied before any filtering. Please note that data modifications are applied before any filtering.
183 Advanced data manipulation Advanced data manipulation
184 Below options allow more advanced varaible manipulations. Below options allow more advanced varaible manipulations.
185 Reorder factor levels Reorder factor levels
186 Reorder the levels of factor/categorical variables. Reorder the levels of factor/categorical variables.
187 New factor New factor
188 Create factor/categorical variable from a continous variable (number/date/time). Create factor/categorical variable from a continous variable (number/date/time).
189 New variable New variable
190 Create a new variable based on an R-expression. Create a new variable based on an R-expression.
191 Compare modified data to original Compare modified data to original
192 Raw print of the original vs the modified data. Raw print of the original vs the modified data.
193 Original data: Original data:
194 Modified data: Modified data:
195 Restore original data Restore original data
196 Reset to original imported dataset. Careful! There is no un-doing. Reset to original imported dataset. Careful! There is no un-doing.
197 Evaluate Evaluate
198 Characteristics Characteristics
199 Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list. Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.
200 Compare strata? Compare strata?
201 Option to perform statistical comparisons between strata in baseline table. Option to perform statistical comparisons between strata in baseline table.
202 Press 'Evaluate' to create the comparison table. Press 'Evaluate' to create the comparison table.
203 Correlations Correlations
204 To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'. To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.
205 Correlation cut-off Correlation cut-off
206 Set the cut-off for considered 'highly correlated'. Set the cut-off for considered 'highly correlated'.
207 Missings Missings
208 Visuals Visuals
209 Analysis validation Analysis validation
210 Report Report
211 Choose your favourite output file format for further work, and download, when the analyses are done. Choose your favourite output file format for further work, and download, when the analyses are done.
212 Factor variable to reorder: Factor variable to reorder:
213 Sort by levels Sort by levels
214 Sort by count Sort by count
215 Create a new variable (otherwise replaces the one selected) Create a new variable (otherwise replaces the one selected)
216 Update factor variable Update factor variable
217 Sort count Sort count
218 Levels Levels
219 Count Count
220 Update levels of a factor Update levels of a factor
221 Update & select variables Update & select variables
222 Date format: Date format:
223 Date to use as origin to convert date/datetime: Date to use as origin to convert date/datetime:
224 Apply changes Apply changes
225 No data to display. No data to display.
226 Data successfully updated! Data successfully updated!
227 You removed {p_out} % of observations. You removed {p_out} % of observations.
228 You removed {p_out} % of variables. You removed {p_out} % of variables.
229 There is a total of {p_miss} % missing observations. There is a total of {p_miss} % missing observations.
230 Data includes {n_pairs} pairs of highly correlated variables. Data includes {n_pairs} pairs of highly correlated variables.
231 Class Class
232 Observations Observations
233 File upload File upload
234 REDCap server export REDCap server export
235 Local or sample data Local or sample data
236 Data is only stored for analyses and deleted when the app is closed. Data is only stored for analyses and deleted when the app is closed.
237 Documentation Documentation
238 Feedback Feedback
239 License: AGPLv3 License: AGPLv3
240 Source Source
241 Settings Settings
242 The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine). The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).
243 Data classes and missing observations Data classes and missing observations
244 We encountered the following error showing missingness: We encountered the following error showing missingness:
245 Please confirm data reset! Please confirm data reset!
246 Sure you want to reset data? This cannot be undone. Sure you want to reset data? This cannot be undone.
247 Confirm Confirm
248 The filtered data The filtered data
249 Create new factor Create new factor
250 This window is aimed at advanced users and require some *R*-experience! This window is aimed at advanced users and require some *R*-experience!
251 Create new variables Create new variables
252 Select data types to include Select data types to include
253 Uploaded data overview Uploaded data overview
254 We encountered the following error browsing your data: We encountered the following error browsing your data:
255 Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias. Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.
256 Data import Data import
257 Data import formatting Data import formatting
258 Data modifications Data modifications
259 Variables filter Variables filter
260 Data filter Data filter
261 Data characteristics table Data characteristics table
262 The dataset without text variables The dataset without text variables
263 The data includes {n_col} variables. Please limit to 100. The data includes {n_col} variables. Please limit to 100.
264 Creating the table. Hold on for a moment.. Creating the table. Hold on for a moment..
265 Generating the report. Hold on for a moment.. Generating the report. Hold on for a moment..
266 We encountered the following error creating your report: We encountered the following error creating your report:
267 There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data. There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.
268 Text or character to split string by Text or character to split string by
269 Split the variable Split the variable
270 Variable to split: Variable to split:
271 Direction: Direction:
272 Split string to multiple columns. Keep number of rows. Split string to multiple columns. Keep number of rows.
273 Split string to multiple observations (rows) in the same column. Also ads id and instance columns Split string to multiple observations (rows) in the same column. Also ads id and instance columns
274 Split character string Split character string
275 Split text Split text
276 Split a character string by a common delimiter Split a character string by a common delimiter
277 Select delimiter Select delimiter
278 Browse data preview Browse data preview
279 Original data Original data
280 Preview of result Preview of result
281 No character variables with accepted delimiters detected. No character variables with accepted delimiters detected.
282 Split a text column by a recognised delimiter. Split a text column by a recognised delimiter.
283 Apply split Apply split
284 Stacked relative barplot Stacked relative barplot
285 Create relative stacked barplots to show the distribution of categorical levels Create relative stacked barplots to show the distribution of categorical levels
286 Side-by-side barplot Side-by-side barplot
287 Create side-by-side barplot to show the distribution of categorical levels Create side-by-side barplot to show the distribution of categorical levels
288 Select table theme Select table theme
289 Level of detail Level of detail
290 Minimal Minimal
291 Extensive Extensive
292 Letters Letters
293 Words Words
294 Shorten to first letters Shorten to first letters
295 Shorten to first words Shorten to first words
296 Missings across variables by the variable **'{input$missings_var}'** Missings across variables by the variable **'{input$missings_var}'**
297 Missing vs non-missing observations in the variable **'{input$missings_var}'** Missing vs non-missing observations in the variable **'{input$missings_var}'**
298 Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random. Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.
299 Calculating. Hold tight for a moment.. Calculating. Hold tight for a moment..
300 Overview of missing observations Overview of missing observations
301 Analysis method for missingness overview Analysis method for missingness overview
302 Overview of missings across variables Overview of missings across variables
303 Overview of difference in variables by missing status in outcome Overview of difference in variables by missing status in outcome
304 Select a variable for grouped overview Select a variable for grouped overview
305 Select outcome variable for overview Select outcome variable for overview
306 No outcome measure chosen No outcome measure chosen
307 There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}. There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.
308 Include group differences Include group differences
309 Error: Error:
310 Download table Download table
311 Welcome to FreesearchR Welcome to FreesearchR
312 A free data analysis tool for clinicians, students, and learners A free data analysis tool for clinicians, students, and learners
313 Core Features Core Features
314 Import Data Import Data
315 Data Management Data Management
316 Filter, modify, and create new variables. Prepare your data efficiently for analysis. Filter, modify, and create new variables. Prepare your data efficiently for analysis.
317 Descriptive Statistics Descriptive Statistics
318 Additional Capabilities Additional Capabilities
319 Data Visualization Data Visualization
320 Create simple, clean plots for quick insights and overview Create simple, clean plots for quick insights and overview
321 Regression Models Regression Models
322 Build simple regression models for advanced analysis Build simple regression models for advanced analysis
323 Export & Learn Export & Learn
324 Download Results Download Results
325 Get Modified Data Get Modified Data
326 Reproducible Code Reproducible Code
327 Full Documentation Full Documentation
328 Share Feedback Share Feedback
329 Contact Us Contact Us
330 FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org
331 Home Home
332 Start with FreesearchR for basic data evaluation and analysis. Start with FreesearchR for basic data evaluation and analysis.
333 When you need more advanced tools, you'll be better prepared to use R directly. When you need more advanced tools, you'll be better prepared to use R directly.
334 (Read more) (Read more)
335 Run the FreesearchR app locally when working with sensitive data. Run the FreesearchR app locally when working with sensitive data.
336 Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility. Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.
337 Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively. Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.
338 Export results directly to your text editor Export results directly to your text editor
339 Save your processed datasets for later Save your processed datasets for later
340 Learn and reproduce results in R Learn and reproduce results in R
341 When you need more advanced tools, you'll be prepared to use R directly. When you need more advanced tools, you'll be prepared to use R directly.

View file

@ -1,343 +1,341 @@
"en","sw" "en","sw"
"Hello","Habari" "Hello","Habari"
"Get started","Tuanze!" "Get started","Tuanze"
"File upload","Upakiaji wa faili" "File upload","Upakiaji wa faili"
"REDCap server export","Usafirishaji wa seva ya REDCap" "REDCap server export","Uhamishaji wa seva ya REDCap"
"Local or sample data","Data ya ndani au ya sampuli" "Local or sample data","Taarifa za ndani au za mfano"
"Please be mindfull handling sensitive data","Tafadhali kuwa mwangalifu kushughulikia data nyeti" "Please be mindfull handling sensitive data","Tafadhali kumbuka kushughulikia data nyeti"
"The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).","Programu ya ***FreesearchR*** huhifadhi data kwa ajili ya uchambuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani. [Soma zaidi hapa](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine)." "The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).","Programu ya ***FreesearchR*** huhifadhi data kwa uchanganuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani ya nchi. [Soma zaidi hapa](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine)."
"Quick overview","Muhtasari wa haraka" "Quick overview","Muhtasari wa haraka"
"Select variables for final import","Chagua vigezo vya kuingiza mwisho" "Select variables for final import","Chagua vigeu kwa ajili ya uingizaji wa mwisho"
"Exclude incomplete variables:","Ondoa vigezo visivyokamilika:" "Exclude incomplete variables:","Usijumuishe vigeu visivyokamilika:"
"Manual selection:","Uchaguzi wa mikono:" "Manual selection:","Uchaguzi wa mikono:"
"Let's begin!","Tuanze!" "Let's begin!","Tuanze!"
"Analysis validation","Uthibitisho wa uchambuzi" "Analysis validation","Uthibitishaji wa uchambuzi"
"Report","Ripoti" "Report","Ripoti"
"Choose your favourite output file format for further work, and download, when the analyses are done.","Chagua umbizo la faili ya matokeo unayopenda kwa kazi zaidi, na upakue, uchambuzi utakapokamilika." "Choose your favourite output file format for further work, and download, when the analyses are done.","Chagua umbizo la faili la towe lako kwa kazi zaidi, na upakue, uchanganuzi utakapofanywa."
"www/intro.html","www/utangulizi.html" "www/intro.html","www/intro_sw.html"
"<p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>","<p>Programu ya <em><strong>FreesearchR</strong></em> huhifadhi data kwa ajili ya uchambuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Soma zaidi hapa</a></p>" "<p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>","<p>Programu ya <em><strong>FreesearchR</strong></em> huhifadhi data kwa ajili ya uchanganuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani ya nchi. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Soma zaidi hapa</a></p>"
"Overview and filter","Muhtasari na kichujio" "Overview and filter","Muhtasari na chujio"
"Overview and filtering","Muhtasari na uchujaji" "Overview and filtering","Muhtasari na uchujaji"
"Visual overview","Muhtasari wa kuona" "Visual overview","Muhtasari wa kuona"
"Filter data types","Chuja aina za data" "Filter data types","Chuja aina za data"
"Filter observations","Uchunguzi wa vichujio" "Filter observations","Chuja uchunguzi"
"Apply filter on observation","Tumia kichujio wakati wa uchunguzi" "Apply filter on observation","Tumia kichujio unapotazama"
"Edit and create data","Hariri na uunde data" "Edit and create data","Edit and create data"
"Subset, rename and convert variables","Weka sehemu ndogo, badilisha jina na ubadilishe vigezo" "Subset, rename and convert variables","Subset, rename and convert variables"
"Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).","Hapa chini, kuna chaguo kadhaa za urekebishaji rahisi wa data kama vile kusasisha vigezo kwa kubadilisha majina, kuunda lebo mpya (kwa majedwali mazuri zaidi katika ripoti) na kubadilisha madarasa ya vigezo (nambari, vipengele/kategoria n.k.)." "Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).","Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.)."
"Please note that data modifications are applied before any filtering.","Tafadhali kumbuka kwamba marekebisho ya data hutumika kabla ya kuchuja yoyote." "Please note that data modifications are applied before any filtering.","Please note that data modifications are applied before any filtering."
"Advanced data manipulation","Udhibiti wa data wa hali ya juu" "Advanced data manipulation","Advanced data manipulation"
"Below options allow more advanced varaible manipulations.","Chaguzi zilizo hapa chini huruhusu udanganyifu wa hali ya juu zaidi unaoweza kubadilika." "Below options allow more advanced varaible manipulations.","Below options allow more advanced varaible manipulations."
"New factor","Kipengele kipya"
"Create factor/categorical variable from a continous variable (number/date/time).","Unda kigezo cha kipengele/kitengo kutoka kwa kigezo endelevu (nambari/tarehe/saa)."
"New variable","Kigezo kipya"
"Create a new variable based on an R-expression.","Unda kigezo kipya kulingana na usemi wa R."
"Compare modified data to original","Linganisha data iliyobadilishwa na ya asili"
"Raw print of the original vs the modified data.","Chapisho ghafi la data asili dhidi ya data iliyorekebishwa."
"Original data:","Data asilia:"
"Modified data:","Data iliyorekebishwa:"
"New column name:","Jina jipya la safu wima:"
"Group calculation by:","Hesabu ya kikundi kwa:"
"Enter an expression to define new column:","Ingiza usemi ili kufafanua safu wima mpya:"
"Click on a column name to add it to the expression:","Bofya jina la safu wima ili kuliongeza kwenye usemi:"
"Create column","Unda safu wima"
"New column name cannot be empty","Jina jipya la safu wima haliwezi kuwa tupu"
"Create a new column","Unda safu wima mpya"
"Some operations are not allowed","Baadhi ya shughuli haziruhusiwi"
"Column added!","Safu wima imeongezwa!"
"Unique values:","Thamani za kipekee:"
"Variable to cut:","Inaweza kubadilishwa kwa kukata:"
"Close intervals on the right","Funga vipindi upande wa kulia"
"Include lowest value","Jumuisha thamani ya chini kabisa"
"Create factor variable","Unda kigezo cha vipengele"
"Fixed breaks:","Mapumziko yasiyobadilika:"
"Method:","Mbinu:"
"Convert Numeric to Factor","Badilisha Nambari kuwa Kipengele"
"Unique:","Kipekee:"
"Missing:","Haipo:"
"Most Common:","Ya Kawaida Zaidi:"
"Min:","Kiwango cha chini:"
"Mean:","Wastani:"
"Max:","Kiwango cha juu zaidi:"
"Decimal separator:","Kitenganishi cha desimali:"
"First five rows are shown below:","Safu tano za kwanza zinaonyeshwa hapa chini:"
"Imported data","Data iliyoingizwa"
"www/intro.md","www/intro.md"
"Choose your data","Chagua data yako"
"Upload a file, get data directly from REDCap or use local or sample data.","Pakia faili, pata data moja kwa moja kutoka REDCap au tumia data ya ndani au sampuli."
"Factor variable to reorder:","Kigezo cha vipengele ili kupanga upya:"
"Sort by levels","Panga kwa viwango"
"Sort by count","Panga kwa hesabu"
"Create a new variable (otherwise replaces the one selected)","Unda kigezo kipya (vinginevyo kinachukua nafasi ya kile kilichochaguliwa)"
"Update factor variable","Sasisha kigezo cha kipengele"
"Levels","Viwango"
"Count","Hesabu"
"Update levels of a factor","Sasisha viwango vya kipengele"
"Update & select variables","Sasisha na uchague vigezo"
"Date format:","Muundo wa tarehe:"
"Date to use as origin to convert date/datetime:","Tarehe ya kutumia kama asili ya kubadilisha tarehe/tarehe:"
"Apply changes","Tumia mabadiliko"
"No data to display.","Hakuna data ya kuonyesha."
"Data successfully updated!","Data imesasishwa kwa mafanikio!"
"You removed {p_out} % of observations.","Umeondoa {p_out} % ya uchunguzi."
"You removed {p_out} % of variables.","Umeondoa {p_out} % ya vigezo."
"You can import {file_extensions_text} files","Unaweza kuingiza faili za {file_extensions_text}"
"You can choose between these file types:","Unaweza kuchagua kati ya aina hizi za faili:"
"Rows to skip before reading data:","Safu za kuruka kabla ya kusoma data:"
"Missing values character(s):","Herufi za thamani zinazokosekana:"
"if several use a comma (',') to separate them","ikiwa kadhaa hutumia koma (',') kuwatenganisha"
"Encoding:","Usimbaji:"
"Upload a file:","Pakia faili:"
"Browse...","Vinjari..."
"Select sheet to import:","Chagua laha ya kuingiza:"
"No file selected.","Hakuna faili iliyochaguliwa."
"Evaluate","Tathmini"
"Visuals","Picha"
"Regression","Urejeshaji"
"Download","Pakua"
"{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.","{data_text} ina uchunguzi wa {n} na vigezo vya {n_var}, pamoja na visa kamili vya {n_complete} ({p_complete}%)."
"Prepare","Tayarisha"
"At 0, only complete variables are included; at 100, all variables are included.","Katika 0, ni vigezo kamili pekee vilivyojumuishwa; katika 100, vigezo vyote vimejumuishwa."
"The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.","Jozi zifuatazo za vigeu zina uhusiano wa hali ya juu: {sentence_paste(.x,and_str)}.\nFikiria kutenga moja {zaidi} kutoka kwenye seti ya data ili kuhakikisha vigeu vinajitegemea."
"No variables have a correlation measure above the threshold.","Hakuna vigezo vyenye kipimo cha uhusiano kilicho juu ya kizingiti."
"and","na"
"from each pair","kutoka kwa kila jozi"
"Only non-text variables are available for plotting. Go the ""Data"" to reclass data to plot.","Vigezo visivyo vya maandishi pekee ndivyo vinavyopatikana kwa ajili ya kupanga. Nenda kwenye ""Data"" ili kupanga upya data ili kupanga."
"Plot","Kipande cha habari"
"Adjust settings, then press ""Plot"".","Rekebisha mipangilio, kisha bonyeza ""Plot""."
"Plot height (mm)","Urefu wa kiwanja (mm)"
"Plot width (mm)","Upana wa kiwanja (mm)"
"File format","Umbizo la faili"
"Download plot","Pakua njama"
"Select variable","Chagua kigezo"
"Response variable","Kigezo cha majibu"
"Plot type","Aina ya kiwanja"
"Please select","Tafadhali chagua"
"Additional variables","Vigezo vya ziada"
"Secondary variable","Kigezo cha pili"
"No variable","Hakuna kigezo"
"Grouping variable","Kigezo cha kuweka katika makundi"
"No stratification","Hakuna matabaka"
"Drawing the plot. Hold tight for a moment..","Kuchora njama. Shikilia kwa muda.."
"#Plotting\n","#Upangaji\n"
"Stacked horizontal bars","Pau za mlalo zilizopangwa kwa mpangilio"
"A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars","Njia ya kitamaduni ya kuibua usambazaji wa mizani ya kawaida kama vile Mizani ya Nafasi iliyorekebishwa na inayojulikana kama baa za Grotta"
"Violin plot","Hadithi ya violin"
"A modern alternative to the classic boxplot to visualise data distribution","Njia mbadala ya kisasa ya mpangilio wa kisanduku wa kawaida ili kuibua usambazaji wa data"
"Sankey plot","Njama ya Sankey"
"A way of visualising change between groups","Njia ya kuibua mabadiliko kati ya vikundi"
"Scatter plot","Njama ya kutawanya"
"A classic way of showing the association between to variables","Njia ya kawaida ya kuonyesha uhusiano kati ya vigezo"
"Box plot","Kipande cha sanduku"
"A classic way to plot data distribution by groups","Njia ya kawaida ya kupanga usambazaji wa data kwa vikundi"
"Euler diagram","Mchoro wa Euler"
"Generate area-proportional Euler diagrams to display set relationships","Tengeneza michoro ya Euler inayolingana na eneo ili kuonyesha uhusiano uliowekwa"
"Documentation","Nyaraka"
"Data is only stored for analyses and deleted when the app is closed.","Data huhifadhiwa kwa ajili ya uchambuzi na kufutwa tu wakati programu imefungwa."
"Feedback","Maoni"
"License: AGPLv3","Leseni: AGPLv3"
"Source","Chanzo"
"Data includes {n_pairs} pairs of highly correlated variables.","Data inajumuisha jozi {n_pairs} za vigeu vinavyohusiana sana."
"Create plot","Unda njama"
"Coefficients plot","Mchoro wa viambato"
"Checks","Hundi"
"Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters.","Hapa chini kuna jedwali la muhtasari kwa ajili ya ufahamu wa haraka, na upande wa kulia unaweza kuibua madarasa ya data, kuvinjari uchunguzi na kutumia vichujio tofauti vya data."
"Browse observations","Vinjari uchunguzi"
"Settings","Mipangilio"
"The following error occured on determining correlations:","Hitilafu ifuatayo ilitokea katika kubaini uhusiano:"
"We encountered the following error creating your report:","Tulikutana na hitilafu ifuatayo katika kuunda ripoti yako:"
"No missing observations","Hakuna uchunguzi unaokosekana"
"There is a total of {p_miss} % missing observations.","Kuna jumla ya uchunguzi wa {p_miss}% unaokosekana."
"Median:","Wastani:"
"Restore original data","Rejesha data asili"
"Reset to original imported dataset. Careful! There is no un-doing.","Rudisha kwenye seti ya data asili iliyoingizwa. Kuwa mwangalifu! Hakuna kutengua."
"Characteristics","Sifa"
"Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.","Vigezo vya vipengele/kategoria pekee ndivyo vinavyopatikana kwa ajili ya uainishaji wa tabaka. Rudi kwenye kichupo cha 'Tayarisha' ili kupanga upya kigezo ikiwa hakipo kwenye orodha."
"Compare strata?","Linganisha tabaka?"
"Correlations","Uhusiano"
"To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.","Ili kuepuka kutathmini uhusiano wa kigezo cha matokeo, hii inaweza kutengwa kwenye njama au kuchagua 'hakuna'."
"Correlation cut-off","Kikomo cha uhusiano"
"Set the cut-off for considered 'highly correlated'.","Weka kikomo cha 'kinachohusiana sana'."
"Missings","Hazipo"
"Class","Darasa"
"Observations","Uchunguzi"
"Data classes and missing observations","Madarasa ya data na uchunguzi unaokosekana"
"Sure you want to reset data? This cannot be undone.","Una uhakika unataka kuweka upya data? Hii haiwezi kutenduliwa."
"Cancel","Ghairi"
"Confirm","Thibitisha"
"The filtered data","Data iliyochujwa"
"Create new factor","Unda kipengele kipya"
"This window is aimed at advanced users and require some *R*-experience!","Dirisha hili linalenga watumiaji wa hali ya juu na linahitaji uzoefu wa *R*!"
"Create new variables","Unda vigezo vipya"
"Select data types to include","Chagua aina za data za kujumuisha"
"Uploaded data overview","Muhtasari wa data iliyopakiwa"
"Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.","Hapa kuna muhtasari wa jinsi data yako inavyotafsiriwa, na mahali ambapo data inakosekana. Tumia taarifa hii kuzingatia ikiwa data inakosekana bila mpangilio au ikiwa baadhi ya uchunguzi unakosekana kimfumo ambao unaweza kusababishwa na upendeleo wa uchunguzi."
"Specify covariables","Bainisha vigeu vinavyoweza kuunganishwa"
"If none are selected, all are included.","Ikiwa hakuna aliyechaguliwa, wote wamejumuishwa."
"Analyse","Changanua"
"Working...","Inafanya kazi..."
"Press 'Analyse' to create the regression model and after changing parameters.","Bonyeza 'Changanua' ili kuunda modeli ya urejeshaji na baada ya kubadilisha vigezo."
"Show p-value","Onyesha thamani ya p"
"Model checks","Ukaguzi wa modeli"
"Please confirm data reset!","Tafadhali thibitisha urejeshaji wa data!"
"Import data from REDCap","Ingiza data kutoka REDCap"
"REDCap server","Seva ya REDCap"
"Web address","Anwani ya wavuti"
"Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'","Muundo unapaswa kuwa 'https://redcap.your.institution/' au 'https://your.institution/redcap/'"
"API token","Tokeni ya API"
"The token is a string of 32 numbers and letters.","Tokeni ni mfuatano wa nambari na herufi 32."
"Connect","Unganisha"
"Data import parameters","Vigezo vya kuingiza data"
"Select fields/variables to import and click the funnel to apply optional filters","Chagua sehemu/vigezo vya kuingiza na ubofye faneli ili kutumia vichujio vya hiari"
"Import","Ingiza"
"Click to see data dictionary","Bofya ili kuona kamusi ya data"
"Connected to server!","Imeunganishwa na seva!"
"The {data_rv$info$project_title} project is loaded.","Mradi wa {data_rv$info$project_title} umepakiwa."
"Data dictionary","Kamusi ya data"
"Preview:","Hakikisho:"
"Imported data set","Seti ya data iliyoingizwa"
"Select fields/variables to import:","Chagua sehemu/vigezo vya kuingiza:"
"Specify the data format","Bainisha umbizo la data"
"Fill missing values?","Jaza thamani zinazokosekana?"
"Requested data was retrieved!","Data iliyoombwa ilipatikana!"
"Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data imerejeshwa, lakini inaonekana ni kitambulisho pekee kilichorejeshwa kutoka kwa seva. Tafadhali wasiliana na msimamizi wako wa REDCap kama una ruhusa zinazohitajika kwa ufikiaji wa data."
"Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data imerejeshwa, lakini inaonekana kama si sehemu zote zilizoombwa zilizorejeshwa kutoka kwa seva. Tafadhali wasiliana na msimamizi wako wa REDCap kama una ruhusa zinazohitajika kwa ufikiaji wa data."
"Click to see the imported data","Bofya ili kuona data iliyoingizwa"
"Regression table","Jedwali la urejeshaji"
"Import a dataset from an environment","Ingiza seti ya data kutoka kwa mazingira"
"Select a dataset:","Chagua seti ya data:"
"List of datasets...","Orodha ya seti za data..."
"No data selected!","Hakuna data iliyochaguliwa!"
"No dataset here...","Hakuna seti ya data hapa..."
"Use a dataset from your environment or from the environment of a package.","Tumia seti ya data kutoka kwa mazingira yako au kutoka kwa mazingira ya kifurushi."
"Not a data.frame","Sio data.frame"
"Select source","Chagua chanzo"
"Select a data source:","Chagua chanzo cha data:"
"Yes","Ndiyo"
"No","Hapana"
"Coefficient plot","Mchoro wa mgawo"
"Select outcome variable","Chagua kigezo cha matokeo"
"Choose regression analysis","Chagua uchanganuzi wa marejeleo"
"Covariables to format as categorical","Vigezo vinavyoweza kubadilishwa ili viundwe kama vya kategoria"
"Select variable to stratify baseline","Chagua kigezo ili kuweka tabaka la msingi"
"Select models to plot","Chagua mifano ya kuchora"
"Creating regression models failed with the following error:","Kuunda mifumo ya urejeshaji kumeshindwa kutokana na hitilafu ifuatayo:"
"Creating a regression table failed with the following error:","Kuunda jedwali la urejelezaji kulishindwa kutokana na hitilafu ifuatayo:"
"Saving the plot. Hold on for a moment..","Kuhifadhi njama. Subiri kwa muda.."
"Running model assumptions checks failed with the following error:","Kuendesha ukaguzi wa mawazo ya modeli kulishindwa na hitilafu ifuatayo:"
"Select checks to plot","Chagua ukaguzi wa kupanga"
"Multivariable regression model checks","Ukaguzi wa modeli ya urejeshaji unaoweza kubadilika-badilika"
"Grouped by {get_label(data,ter)}","Imepangwa kwa makundi kulingana na {get_label(data,ter)}"
"Option to perform statistical comparisons between strata in baseline table.","Chaguo la kufanya ulinganisho wa takwimu kati ya tabaka katika jedwali la msingi."
"Press 'Evaluate' to create the comparison table.","Bonyeza 'Tathmini' ili kuunda jedwali la kulinganisha."
"The data includes {n_col} variables. Please limit to 100.","Data inajumuisha vigezo vya {n_col}. Tafadhali punguza hadi 100."
"Data import","Uingizaji wa data"
"Data import formatting","Uumbizaji wa kuingiza data"
"Data modifications","Marekebisho ya data"
"Variables filter","Kichujio cha vigeugeu"
"Data filter","Kichujio cha data"
"Data characteristics table","Jedwali la sifa za data"
"The dataset without text variables","Seti ya data bila vigeu vya maandishi"
"Creating the table. Hold on for a moment..","Kutengeneza meza. Subiri kwa muda.."
"Generating the report. Hold on for a moment..","Inazalisha ripoti. Subiri kidogo.."
"We encountered the following error showing missingness:","Tulikutana na hitilafu ifuatayo inayoonyesha ukosefu:"
"We encountered the following error browsing your data:","Tulipata hitilafu ifuatayo wakati wa kuvinjari data yako:"
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Chagua jina la safu wima itakayoundwa au kurekebishwa, kisha ingiza usemi kabla ya kubofya kitufe kilicho hapa chini ili kuunda kigezo, au ghairi ili kutoka bila kuhifadhi chochote."
"Other","Nyingine"
"Hour of the day","Saa ya siku"
"Breaks","Mapumziko"
"By day of the week","Kwa siku ya wiki"
"By weekday","Kufikia siku ya wiki"
"By week number and year","Kwa idadi ya wiki na mwaka"
"By week number","Kwa nambari ya wiki"
"By month and year","Kwa mwezi na mwaka"
"By month only","Kwa mwezi pekee"
"By quarter of the year","Kufikia robo ya mwaka"
"By year","Kwa mwaka"
"Keep only most common","Weka pekee ya kawaida"
"Number","Nambari"
"Combine below percentage","Changanya chini ya asilimia"
"Percentage","Asilimia"
"By specified numbers","Kwa nambari zilizoainishwa"
"By quantiles (groups of equal size)","Kwa quantiles (vikundi vya ukubwa sawa)"
"Please fill in web address and API token, then press 'Connect'.","Tafadhali jaza anwani ya wavuti na tokeni ya API, kisha bonyeza 'Unganisha'."
"There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","Kuna chaguo za hali ya juu zaidi za kurekebisha vigezo vya vipengele/kategoria pamoja na kuunda kipengele kipya kutoka kwa kigezo kilichopo au vigezo vipya vyenye msimbo wa R. Chini unaweza kurejesha data asili."
"Text or character to split string by","Maandishi au herufi ya kugawanya mfuatano kwa"
"Split the variable","Gawanya kigezo"
"Variable to split:","Kinachoweza kubadilika hadi kugawanyika:"
"Direction:","Mwelekeo:"
"Split string to multiple columns. Keep number of rows.","Gawanya mfuatano katika safu wima nyingi. Weka idadi ya safu wima."
"Split string to multiple observations (rows) in the same column. Also ads id and instance columns","Gawanya mfuatano katika uchunguzi mwingi (safu) katika safu wima moja. Pia vitambulisho vya matangazo na safu wima za mfano"
"Split character string","Gawanya mfuatano wa herufi"
"Split text","Gawanya maandishi"
"Split a character string by a common delimiter","Gawanya mfuatano wa herufi kwa kitenganishi cha kawaida"
"Select delimiter","Chagua kidhibiti"
"Browse data preview","Vinjari hakikisho la data"
"Original data","Data asili"
"Preview of result","Hakikisho la matokeo"
"No character variables with accepted delimiters detected.","Hakuna vigezo vya herufi vilivyo na vidhibiti vinavyokubalika vilivyogunduliwa."
"Split a text column by a recognised delimiter.","Gawanya safu wima ya maandishi kwa kitenga kinachotambulika."
"Apply split","Tumia mgawanyiko"
"Stacked relative barplot","Kipande cha baruni kilichopangwa kwa mirundiko"
"Create relative stacked barplots to show the distribution of categorical levels","Unda viwanja vya baruni vilivyopangwa ili kuonyesha usambazaji wa viwango vya kategoria"
"Side-by-side barplot","Kipande cha baruni cha kando kwa kando"
"Create side-by-side barplot to show the distribution of categorical levels","Unda mpangilio wa barufa kando ili kuonyesha usambazaji wa viwango vya kategoria"
"Select table theme","Chagua mandhari ya jedwali"
"Level of detail","Kiwango cha maelezo"
"Minimal","Kidogo"
"Extensive","Kina"
"Letters","Barua"
"Words","Maneno"
"Shorten to first letters","Fupisha herufi za kwanza"
"Shorten to first words","Fupisha maneno ya kwanza"
"Missings across variables by the variable **'{input$missings_var}'**","Hazipo katika vigezo kwa kigezo **'{input$missings_var}'**"
"Missing vs non-missing observations in the variable **'{input$missings_var}'**","Uchunguzi unaokosekana dhidi ya usiokosekana katika kigezo **'{input$missings_var}'**"
"Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.","Tathmini upungufu kwa kulinganisha thamani zinazokosekana katika vigezo (hiari zilizopangwa kwa mujibu wa kigezo cha kategoria au cha pande mbili) au linganisha vigezo vilivyopangwa kwa mujibu wa hali inayokosekana (inayokosekana au isiyokosekana) ya kigezo cha matokeo. Ikiwa kuna tofauti kubwa katika upungufu, hii inaweza kusababisha upendeleo katika data yako na inapaswa kuzingatiwa kwa uangalifu kutafsiri data na uchambuzi kwani data inaweza isikosekane bila mpangilio."
"Calculating. Hold tight for a moment..","Kuhesabu. Shikilia kwa muda.."
"Overview of missing observations","Muhtasari wa uchunguzi uliokosekana"
"Analysis method for missingness overview","Mbinu ya uchambuzi wa muhtasari wa kukosekana"
"Overview of missings across variables","Muhtasari wa mambo yanayokosekana katika vigezo"
"Overview of difference in variables by missing status in outcome","Muhtasari wa tofauti katika vigezo kwa kukosa hali katika matokeo"
"Select a variable for grouped overview","Chagua kigezo cha muhtasari wa kikundi"
"Select outcome variable for overview","Chagua kigezo cha matokeo kwa muhtasari"
"No outcome measure chosen","Hakuna kipimo cha matokeo kilichochaguliwa"
"There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.","Kuna tofauti kubwa katika ukosefu wa data katika {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} zilizopangwa kwa mujibu wa kigezo kilichochaguliwa cha matokeo/upangaji {outcome}."
"Include group differences","Jumuisha tofauti za vikundi"
"Error:","Hitilafu:"
"Download table","Pakua jedwali"
"Welcome to FreesearchR","Karibu kwenye FreesearchR"
"A free data analysis tool for clinicians, students, and learners","Zana ya uchambuzi wa data bila malipo kwa madaktari, wanafunzi, na wanafunzi"
"Core Features","Vipengele vya Msingi"
"Import Data","Ingiza Data"
"Data Management","Usimamizi wa Data"
"Filter, modify, and create new variables. Prepare your data efficiently for analysis.","Chuja, rekebisha, na uunde vigeu vipya. Tayarisha data yako kwa ufanisi kwa ajili ya uchambuzi."
"Descriptive Statistics","Takwimu za Maelezo"
"Additional Capabilities","Uwezo wa Ziada"
"Data Visualization","Uonyeshaji wa Data"
"Create simple, clean plots for quick insights and overview","Unda michoro rahisi na safi kwa ajili ya maarifa ya haraka na muhtasari"
"Regression Models","Mifumo ya Urejeshaji"
"Build simple regression models for advanced analysis","Jenga mifumo rahisi ya urejelezaji kwa ajili ya uchambuzi wa hali ya juu"
"Export & Learn","Hamisha na Ujifunze"
"Download Results","Pakua Matokeo"
"Get Modified Data","Pata Data Iliyorekebishwa"
"Reproducible Code","Nambari Inayoweza Kurudiwa"
"Full Documentation","Nyaraka Kamili"
"Share Feedback","Shiriki Maoni"
"Contact Us","Wasiliana Nasi"
"FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org","FreesearchR inapatikana katika lugha nyingi. Ili kukusaidia na tafsiri, tafadhali wasiliana nasi kwa info@freesearchr.org."
"Home","Nyumbani"
"Start with FreesearchR for basic data evaluation and analysis.","Anza na FreesearchR kwa tathmini na uchambuzi wa data ya msingi."
"When you need more advanced tools, you'll be better prepared to use R directly.","Unapohitaji zana za hali ya juu zaidi, utakuwa tayari zaidi kutumia R moja kwa moja."
"(Read more)","(Soma zaidi)"
"Run the FreesearchR app locally when working with sensitive data.","Endesha programu ya FreesearchR ndani ya eneo lako unapofanya kazi na data nyeti."
"Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.","Pakia data kutoka kwa lahajedwali, seva za REDCap, au jaribu na data ya sampuli. Vyanzo vingi vinaungwa mkono kwa unyumbufu wa hali ya juu."
"Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.","Tathmini data kwa kutumia uchambuzi wa maelezo, kagua uhusiano, na uhakiki uchunguzi unaokosekana kwa ufanisi."
"Export results directly to your text editor","Hamisha matokeo moja kwa moja kwenye kihariri chako cha maandishi"
"Save your processed datasets for later","Hifadhi seti zako za data zilizosindikwa kwa ajili ya baadaye"
"Learn and reproduce results in R","Jifunze na uzalishe matokeo katika R"
"When you need more advanced tools, you'll be prepared to use R directly.","Unapohitaji zana za hali ya juu zaidi, utakuwa tayari kutumia R moja kwa moja."
"The app contains a selelct number of features and will guide you through key analyses.","The app contains a selelct number of features and will guide you through key analyses."
"Sort by Levels","Sort by Levels"
"Reorder factor levels","Reorder factor levels" "Reorder factor levels","Reorder factor levels"
"Modify factor levels","Modify factor levels" "Reorder the levels of factor/categorical variables.","Reorder the levels of factor/categorical variables."
"Reorder or rename the levels of factor/categorical variables.","Reorder or rename the levels of factor/categorical variables." "New factor","New factor"
"Create factor/categorical variable from a continous variable (number/date/time).","Create factor/categorical variable from a continous variable (number/date/time)."
"New variable","New variable"
"Create a new variable based on an R-expression.","Create a new variable based on an R-expression."
"Compare modified data to original","Compare modified data to original"
"Raw print of the original vs the modified data.","Raw print of the original vs the modified data."
"Original data:","Data asili:"
"Modified data:","Data iliyobadilishwa:"
"New column name:","New column name:"
"Group calculation by:","Group calculation by:"
"Enter an expression to define new column:","Enter an expression to define new column:"
"Click on a column name to add it to the expression:","Click on a column name to add it to the expression:"
"Create column","Create column"
"New column name cannot be empty","New column name cannot be empty"
"Create a new column","Create a new column"
"Some operations are not allowed","Some operations are not allowed"
"Column added!","Column added!"
"Unique values:","Unique values:"
"Variable to cut:","Variable to cut:"
"Close intervals on the right","Close intervals on the right"
"Include lowest value","Include lowest value"
"Create factor variable","Create factor variable"
"Fixed breaks:","Fixed breaks:"
"Method:","Method:"
"Convert Numeric to Factor","Convert Numeric to Factor"
"Unique:","Unique:"
"Missing:","Missing:"
"Most Common:","Most Common:"
"Min:","Min:"
"Mean:","Mean:"
"Max:","Max:"
"Decimal separator:","Decimal separator:"
"First five rows are shown below:","First five rows are shown below:"
"Imported data","Imported data"
"www/intro.md","www/intro.md"
"Choose your data","Choose your data"
"Upload a file, get data directly from REDCap or use local or sample data.","Upload a file, get data directly from REDCap or use local or sample data."
"Factor variable to reorder:","Factor variable to reorder:"
"Sort by levels","Sort by levels"
"Sort by count","Sort by count"
"Create a new variable (otherwise replaces the one selected)","Create a new variable (otherwise replaces the one selected)"
"Update factor variable","Update factor variable"
"Sort count","Sort count"
"Levels","Levels"
"Count","Count"
"Update levels of a factor","Update levels of a factor"
"Update & select variables","Update & select variables"
"Date format:","Date format:"
"Date to use as origin to convert date/datetime:","Date to use as origin to convert date/datetime:"
"Apply changes","Apply changes"
"No data to display.","No data to display."
"Data successfully updated!","Data successfully updated!"
"You removed {p_out} % of observations.","You removed {p_out} % of observations."
"You removed {p_out} % of variables.","You removed {p_out} % of variables."
"You can import {file_extensions_text} files","You can import {file_extensions_text} files"
"You can choose between these file types:","You can choose between these file types:"
"Rows to skip before reading data:","Rows to skip before reading data:"
"Missing values character(s):","Missing values character(s):"
"if several use a comma (',') to separate them","if several use a comma (',') to separate them"
"Encoding:","Encoding:"
"Upload a file:","Upload a file:"
"Browse...","Browse..."
"Select sheet to import:","Select sheet to import:"
"No file selected.","No file selected."
"Evaluate","Evaluate"
"Visuals","Visuals"
"Regression","Regression"
"Download","Download"
"{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.","{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases."
"Prepare","Prepare"
"At 0, only complete variables are included; at 100, all variables are included.","At 0, only complete variables are included; at 100, all variables are included."
"The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.","The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent."
"No variables have a correlation measure above the threshold.","No variables have a correlation measure above the threshold."
"and","and"
"from each pair","from each pair"
"Only non-text variables are available for plotting. Go the ""Data"" to reclass data to plot.","Only non-text variables are available for plotting. Go the ""Data"" to reclass data to plot."
"Plot","Plot"
"Adjust settings, then press ""Plot"".","Adjust settings, then press ""Plot""."
"Plot height (mm)","Plot height (mm)"
"Plot width (mm)","Plot width (mm)"
"File format","File format"
"Download plot","Download plot"
"Select variable","Select variable"
"Response variable","Response variable"
"Plot type","Plot type"
"Please select","Please select"
"Additional variables","Additional variables"
"Secondary variable","Secondary variable"
"No variable","No variable"
"Grouping variable","Grouping variable"
"No stratification","No stratification"
"Drawing the plot. Hold tight for a moment..","Drawing the plot. Hold tight for a moment.."
"#Plotting\n","#Plotting\n"
"Stacked horizontal bars","Stacked horizontal bars"
"A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars","A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars"
"Violin plot","Violin plot"
"A modern alternative to the classic boxplot to visualise data distribution","A modern alternative to the classic boxplot to visualise data distribution"
"Sankey plot","Sankey plot"
"A way of visualising change between groups","A way of visualising change between groups"
"Scatter plot","Scatter plot"
"A classic way of showing the association between to variables","A classic way of showing the association between to variables"
"Box plot","Box plot"
"A classic way to plot data distribution by groups","A classic way to plot data distribution by groups"
"Euler diagram","Euler diagram"
"Generate area-proportional Euler diagrams to display set relationships","Generate area-proportional Euler diagrams to display set relationships"
"Documentation","Documentation"
"Data is only stored for analyses and deleted when the app is closed.","Data is only stored for analyses and deleted when the app is closed."
"Feedback","Feedback"
"License: AGPLv3","License: AGPLv3"
"Source","Source"
"Data includes {n_pairs} pairs of highly correlated variables.","Data includes {n_pairs} pairs of highly correlated variables."
"Create plot","Create plot"
"Coefficients plot","Coefficients plot"
"Checks","Checks"
"Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters.","Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters."
"Browse observations","Browse observations"
"Settings","Settings"
"The following error occured on determining correlations:","The following error occured on determining correlations:"
"We encountered the following error creating your report:","We encountered the following error creating your report:"
"No missing observations","No missing observations"
"There is a total of {p_miss} % missing observations.","There is a total of {p_miss} % missing observations."
"Median:","Median:"
"Restore original data","Restore original data"
"Reset to original imported dataset. Careful! There is no un-doing.","Reset to original imported dataset. Careful! There is no un-doing."
"Characteristics","Characteristics"
"Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.","Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list."
"Compare strata?","Compare strata?"
"Correlations","Correlations"
"To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.","To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'."
"Correlation cut-off","Correlation cut-off"
"Set the cut-off for considered 'highly correlated'.","Set the cut-off for considered 'highly correlated'."
"Missings","Missings"
"Class","Class"
"Observations","Observations"
"Data classes and missing observations","Data classes and missing observations"
"Sure you want to reset data? This cannot be undone.","Sure you want to reset data? This cannot be undone."
"Cancel","Cancel"
"Confirm","Confirm"
"The filtered data","The filtered data"
"Create new factor","Create new factor"
"This window is aimed at advanced users and require some *R*-experience!","This window is aimed at advanced users and require some *R*-experience!"
"Create new variables","Create new variables"
"Select data types to include","Select data types to include"
"Uploaded data overview","Uploaded data overview"
"Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.","Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias."
"Specify covariables","Specify covariables"
"If none are selected, all are included.","If none are selected, all are included."
"Analyse","Analyse"
"Working...","Working..."
"Press 'Analyse' to create the regression model and after changing parameters.","Press 'Analyse' to create the regression model and after changing parameters."
"Show p-value","Show p-value"
"Model checks","Model checks"
"Please confirm data reset!","Please confirm data reset!"
"Import data from REDCap","Import data from REDCap"
"REDCap server","REDCap server"
"Web address","Web address"
"Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'","Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'"
"API token","API token"
"The token is a string of 32 numbers and letters.","The token is a string of 32 numbers and letters."
"Connect","Connect"
"Data import parameters","Data import parameters"
"Select fields/variables to import and click the funnel to apply optional filters","Select fields/variables to import and click the funnel to apply optional filters"
"Import","Import"
"Click to see data dictionary","Click to see data dictionary"
"Connected to server!","Connected to server!"
"The {data_rv$info$project_title} project is loaded.","The {data_rv$info$project_title} project is loaded."
"Data dictionary","Data dictionary"
"Preview:","Preview:"
"Imported data set","Imported data set"
"Select fields/variables to import:","Select fields/variables to import:"
"Specify the data format","Specify the data format"
"Fill missing values?","Fill missing values?"
"Requested data was retrieved!","Requested data was retrieved!"
"Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access."
"Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access."
"Click to see the imported data","Click to see the imported data"
"Regression table","Regression table"
"Import a dataset from an environment","Import a dataset from an environment"
"Select a dataset:","Select a dataset:"
"List of datasets...","List of datasets..."
"No data selected!","No data selected!"
"No dataset here...","No dataset here..."
"Use a dataset from your environment or from the environment of a package.","Use a dataset from your environment or from the environment of a package."
"Not a data.frame","Not a data.frame"
"Select source","Select source"
"Select a data source:","Select a data source:"
"Yes","Yes"
"No","No"
"Coefficient plot","Coefficient plot"
"Select outcome variable","Select outcome variable"
"Choose regression analysis","Choose regression analysis"
"Covariables to format as categorical","Covariables to format as categorical"
"Select variable to stratify baseline","Select variable to stratify baseline"
"Select models to plot","Select models to plot"
"Creating regression models failed with the following error:","Creating regression models failed with the following error:"
"Creating a regression table failed with the following error:","Creating a regression table failed with the following error:"
"Saving the plot. Hold on for a moment..","Saving the plot. Hold on for a moment.."
"Running model assumptions checks failed with the following error:","Running model assumptions checks failed with the following error:"
"Select checks to plot","Select checks to plot"
"Multivariable regression model checks","Multivariable regression model checks"
"Grouped by {get_label(data,ter)}","Grouped by {get_label(data,ter)}"
"Option to perform statistical comparisons between strata in baseline table.","Option to perform statistical comparisons between strata in baseline table."
"Press 'Evaluate' to create the comparison table.","Press 'Evaluate' to create the comparison table."
"The data includes {n_col} variables. Please limit to 100.","The data includes {n_col} variables. Please limit to 100."
"Data import","Data import"
"Data import formatting","Data import formatting"
"Data modifications","Data modifications"
"Variables filter","Variables filter"
"Data filter","Data filter"
"Data characteristics table","Data characteristics table"
"The dataset without text variables","The dataset without text variables"
"Creating the table. Hold on for a moment..","Creating the table. Hold on for a moment.."
"Generating the report. Hold on for a moment..","Generating the report. Hold on for a moment.."
"We encountered the following error showing missingness:","We encountered the following error showing missingness:"
"We encountered the following error browsing your data:","We encountered the following error browsing your data:"
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything."
"Other","Other"
"Hour of the day","Hour of the day"
"Breaks","Breaks"
"By day of the week","By day of the week"
"By weekday","By weekday"
"By week number and year","By week number and year"
"By week number","By week number"
"By month and year","By month and year"
"By month only","By month only"
"By quarter of the year","By quarter of the year"
"By year","By year"
"Keep only most common","Keep only most common"
"Number","Number"
"Combine below percentage","Combine below percentage"
"Percentage","Percentage"
"By specified numbers","By specified numbers"
"By quantiles (groups of equal size)","By quantiles (groups of equal size)"
"Please fill in web address and API token, then press 'Connect'.","Please fill in web address and API token, then press 'Connect'."
"There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data."
"Text or character to split string by","Text or character to split string by"
"Split the variable","Split the variable"
"Variable to split:","Variable to split:"
"Direction:","Direction:"
"Split string to multiple columns. Keep number of rows.","Split string to multiple columns. Keep number of rows."
"Split string to multiple observations (rows) in the same column. Also ads id and instance columns","Split string to multiple observations (rows) in the same column. Also ads id and instance columns"
"Split character string","Split character string"
"Split text","Split text"
"Split a character string by a common delimiter","Split a character string by a common delimiter"
"Select delimiter","Select delimiter"
"Browse data preview","Browse data preview"
"Original data","Original data"
"Preview of result","Preview of result"
"No character variables with accepted delimiters detected.","No character variables with accepted delimiters detected."
"Split a text column by a recognised delimiter.","Split a text column by a recognised delimiter."
"Apply split","Apply split"
"Stacked relative barplot","Stacked relative barplot"
"Create relative stacked barplots to show the distribution of categorical levels","Create relative stacked barplots to show the distribution of categorical levels"
"Side-by-side barplot","Side-by-side barplot"
"Create side-by-side barplot to show the distribution of categorical levels","Create side-by-side barplot to show the distribution of categorical levels"
"Select table theme","Select table theme"
"Level of detail","Level of detail"
"Minimal","Minimal"
"Extensive","Extensive"
"Letters","Letters"
"Words","Words"
"Shorten to first letters","Shorten to first letters"
"Shorten to first words","Shorten to first words"
"Missings across variables by the variable **'{input$missings_var}'**","Missings across variables by the variable **'{input$missings_var}'**"
"Missing vs non-missing observations in the variable **'{input$missings_var}'**","Missing vs non-missing observations in the variable **'{input$missings_var}'**"
"Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.","Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random."
"Calculating. Hold tight for a moment..","Calculating. Hold tight for a moment.."
"Overview of missing observations","Overview of missing observations"
"Analysis method for missingness overview","Analysis method for missingness overview"
"Overview of missings across variables","Overview of missings across variables"
"Overview of difference in variables by missing status in outcome","Overview of difference in variables by missing status in outcome"
"Select a variable for grouped overview","Select a variable for grouped overview"
"Select outcome variable for overview","Select outcome variable for overview"
"No outcome measure chosen","No outcome measure chosen"
"There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.","There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}."
"Include group differences","Include group differences"
"Error:","Error:"
"Download table","Download table"
"Welcome to FreesearchR","Welcome to FreesearchR"
"A free data analysis tool for clinicians, students, and learners","A free data analysis tool for clinicians, students, and learners"
"Core Features","Core Features"
"Import Data","Import Data"
"Data Management","Data Management"
"Filter, modify, and create new variables. Prepare your data efficiently for analysis.","Filter, modify, and create new variables. Prepare your data efficiently for analysis."
"Descriptive Statistics","Descriptive Statistics"
"Additional Capabilities","Additional Capabilities"
"Data Visualization","Data Visualization"
"Create simple, clean plots for quick insights and overview","Create simple, clean plots for quick insights and overview"
"Regression Models","Regression Models"
"Build simple regression models for advanced analysis","Build simple regression models for advanced analysis"
"Export & Learn","Export & Learn"
"Download Results","Download Results"
"Get Modified Data","Get Modified Data"
"Reproducible Code","Reproducible Code"
"Full Documentation","Full Documentation"
"Share Feedback","Share Feedback"
"Contact Us","Contact Us"
"FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org","FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org"
"Home","Home"
"Start with FreesearchR for basic data evaluation and analysis.","Start with FreesearchR for basic data evaluation and analysis."
"When you need more advanced tools, you'll be better prepared to use R directly.","When you need more advanced tools, you'll be better prepared to use R directly."
"(Read more)","(Read more)"
"Run the FreesearchR app locally when working with sensitive data.","Run the FreesearchR app locally when working with sensitive data."
"Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.","Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility."
"Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.","Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively."
"Export results directly to your text editor","Export results directly to your text editor"
"Save your processed datasets for later","Save your processed datasets for later"
"Learn and reproduce results in R","Learn and reproduce results in R"
"When you need more advanced tools, you'll be prepared to use R directly.","When you need more advanced tools, you'll be prepared to use R directly."

1 en sw
2 Hello Habari
3 Get started Tuanze! Tuanze
4 File upload Upakiaji wa faili
5 REDCap server export Usafirishaji wa seva ya REDCap Uhamishaji wa seva ya REDCap
6 Local or sample data Data ya ndani au ya sampuli Taarifa za ndani au za mfano
7 Please be mindfull handling sensitive data Tafadhali kuwa mwangalifu kushughulikia data nyeti Tafadhali kumbuka kushughulikia data nyeti
8 The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine). Programu ya ***FreesearchR*** huhifadhi data kwa ajili ya uchambuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani. [Soma zaidi hapa](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine). Programu ya ***FreesearchR*** huhifadhi data kwa uchanganuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani ya nchi. [Soma zaidi hapa](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).
9 Quick overview Muhtasari wa haraka
10 Select variables for final import Chagua vigezo vya kuingiza mwisho Chagua vigeu kwa ajili ya uingizaji wa mwisho
11 Exclude incomplete variables: Ondoa vigezo visivyokamilika: Usijumuishe vigeu visivyokamilika:
12 Manual selection: Uchaguzi wa mikono:
13 Let's begin! Tuanze!
14 Analysis validation Uthibitisho wa uchambuzi Uthibitishaji wa uchambuzi
15 Report Ripoti
16 Choose your favourite output file format for further work, and download, when the analyses are done. Chagua umbizo la faili ya matokeo unayopenda kwa kazi zaidi, na upakue, uchambuzi utakapokamilika. Chagua umbizo la faili la towe lako kwa kazi zaidi, na upakue, uchanganuzi utakapofanywa.
17 www/intro.html www/utangulizi.html www/intro_sw.html
18 <p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p> <p>Programu ya <em><strong>FreesearchR</strong></em> huhifadhi data kwa ajili ya uchambuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Soma zaidi hapa</a></p> <p>Programu ya <em><strong>FreesearchR</strong></em> huhifadhi data kwa ajili ya uchanganuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani ya nchi. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Soma zaidi hapa</a></p>
19 Overview and filter Muhtasari na kichujio Muhtasari na chujio
20 Overview and filtering Muhtasari na uchujaji
21 Visual overview Muhtasari wa kuona
22 Filter data types Chuja aina za data
23 Filter observations Uchunguzi wa vichujio Chuja uchunguzi
24 Apply filter on observation Tumia kichujio wakati wa uchunguzi Tumia kichujio unapotazama
25 Edit and create data Hariri na uunde data Edit and create data
26 Subset, rename and convert variables Weka sehemu ndogo, badilisha jina na ubadilishe vigezo Subset, rename and convert variables
27 Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.). Hapa chini, kuna chaguo kadhaa za urekebishaji rahisi wa data kama vile kusasisha vigezo kwa kubadilisha majina, kuunda lebo mpya (kwa majedwali mazuri zaidi katika ripoti) na kubadilisha madarasa ya vigezo (nambari, vipengele/kategoria n.k.). Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).
28 Please note that data modifications are applied before any filtering. Tafadhali kumbuka kwamba marekebisho ya data hutumika kabla ya kuchuja yoyote. Please note that data modifications are applied before any filtering.
29 Advanced data manipulation Udhibiti wa data wa hali ya juu Advanced data manipulation
30 Below options allow more advanced varaible manipulations. Chaguzi zilizo hapa chini huruhusu udanganyifu wa hali ya juu zaidi unaoweza kubadilika. Below options allow more advanced varaible manipulations.
New factor Kipengele kipya
Create factor/categorical variable from a continous variable (number/date/time). Unda kigezo cha kipengele/kitengo kutoka kwa kigezo endelevu (nambari/tarehe/saa).
New variable Kigezo kipya
Create a new variable based on an R-expression. Unda kigezo kipya kulingana na usemi wa R.
Compare modified data to original Linganisha data iliyobadilishwa na ya asili
Raw print of the original vs the modified data. Chapisho ghafi la data asili dhidi ya data iliyorekebishwa.
Original data: Data asilia:
Modified data: Data iliyorekebishwa:
New column name: Jina jipya la safu wima:
Group calculation by: Hesabu ya kikundi kwa:
Enter an expression to define new column: Ingiza usemi ili kufafanua safu wima mpya:
Click on a column name to add it to the expression: Bofya jina la safu wima ili kuliongeza kwenye usemi:
Create column Unda safu wima
New column name cannot be empty Jina jipya la safu wima haliwezi kuwa tupu
Create a new column Unda safu wima mpya
Some operations are not allowed Baadhi ya shughuli haziruhusiwi
Column added! Safu wima imeongezwa!
Unique values: Thamani za kipekee:
Variable to cut: Inaweza kubadilishwa kwa kukata:
Close intervals on the right Funga vipindi upande wa kulia
Include lowest value Jumuisha thamani ya chini kabisa
Create factor variable Unda kigezo cha vipengele
Fixed breaks: Mapumziko yasiyobadilika:
Method: Mbinu:
Convert Numeric to Factor Badilisha Nambari kuwa Kipengele
Unique: Kipekee:
Missing: Haipo:
Most Common: Ya Kawaida Zaidi:
Min: Kiwango cha chini:
Mean: Wastani:
Max: Kiwango cha juu zaidi:
Decimal separator: Kitenganishi cha desimali:
First five rows are shown below: Safu tano za kwanza zinaonyeshwa hapa chini:
Imported data Data iliyoingizwa
www/intro.md www/intro.md
Choose your data Chagua data yako
Upload a file, get data directly from REDCap or use local or sample data. Pakia faili, pata data moja kwa moja kutoka REDCap au tumia data ya ndani au sampuli.
Factor variable to reorder: Kigezo cha vipengele ili kupanga upya:
Sort by levels Panga kwa viwango
Sort by count Panga kwa hesabu
Create a new variable (otherwise replaces the one selected) Unda kigezo kipya (vinginevyo kinachukua nafasi ya kile kilichochaguliwa)
Update factor variable Sasisha kigezo cha kipengele
Levels Viwango
Count Hesabu
Update levels of a factor Sasisha viwango vya kipengele
Update & select variables Sasisha na uchague vigezo
Date format: Muundo wa tarehe:
Date to use as origin to convert date/datetime: Tarehe ya kutumia kama asili ya kubadilisha tarehe/tarehe:
Apply changes Tumia mabadiliko
No data to display. Hakuna data ya kuonyesha.
Data successfully updated! Data imesasishwa kwa mafanikio!
You removed {p_out} % of observations. Umeondoa {p_out} % ya uchunguzi.
You removed {p_out} % of variables. Umeondoa {p_out} % ya vigezo.
You can import {file_extensions_text} files Unaweza kuingiza faili za {file_extensions_text}
You can choose between these file types: Unaweza kuchagua kati ya aina hizi za faili:
Rows to skip before reading data: Safu za kuruka kabla ya kusoma data:
Missing values character(s): Herufi za thamani zinazokosekana:
if several use a comma (',') to separate them ikiwa kadhaa hutumia koma (',') kuwatenganisha
Encoding: Usimbaji:
Upload a file: Pakia faili:
Browse... Vinjari...
Select sheet to import: Chagua laha ya kuingiza:
No file selected. Hakuna faili iliyochaguliwa.
Evaluate Tathmini
Visuals Picha
Regression Urejeshaji
Download Pakua
{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases. {data_text} ina uchunguzi wa {n} na vigezo vya {n_var}, pamoja na visa kamili vya {n_complete} ({p_complete}%).
Prepare Tayarisha
At 0, only complete variables are included; at 100, all variables are included. Katika 0, ni vigezo kamili pekee vilivyojumuishwa; katika 100, vigezo vyote vimejumuishwa.
The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent. Jozi zifuatazo za vigeu zina uhusiano wa hali ya juu: {sentence_paste(.x,and_str)}.\nFikiria kutenga moja {zaidi} kutoka kwenye seti ya data ili kuhakikisha vigeu vinajitegemea.
No variables have a correlation measure above the threshold. Hakuna vigezo vyenye kipimo cha uhusiano kilicho juu ya kizingiti.
and na
from each pair kutoka kwa kila jozi
Only non-text variables are available for plotting. Go the "Data" to reclass data to plot. Vigezo visivyo vya maandishi pekee ndivyo vinavyopatikana kwa ajili ya kupanga. Nenda kwenye "Data" ili kupanga upya data ili kupanga.
Plot Kipande cha habari
Adjust settings, then press "Plot". Rekebisha mipangilio, kisha bonyeza "Plot".
Plot height (mm) Urefu wa kiwanja (mm)
Plot width (mm) Upana wa kiwanja (mm)
File format Umbizo la faili
Download plot Pakua njama
Select variable Chagua kigezo
Response variable Kigezo cha majibu
Plot type Aina ya kiwanja
Please select Tafadhali chagua
Additional variables Vigezo vya ziada
Secondary variable Kigezo cha pili
No variable Hakuna kigezo
Grouping variable Kigezo cha kuweka katika makundi
No stratification Hakuna matabaka
Drawing the plot. Hold tight for a moment.. Kuchora njama. Shikilia kwa muda..
#Plotting\n #Upangaji\n
Stacked horizontal bars Pau za mlalo zilizopangwa kwa mpangilio
A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars Njia ya kitamaduni ya kuibua usambazaji wa mizani ya kawaida kama vile Mizani ya Nafasi iliyorekebishwa na inayojulikana kama baa za Grotta
Violin plot Hadithi ya violin
A modern alternative to the classic boxplot to visualise data distribution Njia mbadala ya kisasa ya mpangilio wa kisanduku wa kawaida ili kuibua usambazaji wa data
Sankey plot Njama ya Sankey
A way of visualising change between groups Njia ya kuibua mabadiliko kati ya vikundi
Scatter plot Njama ya kutawanya
A classic way of showing the association between to variables Njia ya kawaida ya kuonyesha uhusiano kati ya vigezo
Box plot Kipande cha sanduku
A classic way to plot data distribution by groups Njia ya kawaida ya kupanga usambazaji wa data kwa vikundi
Euler diagram Mchoro wa Euler
Generate area-proportional Euler diagrams to display set relationships Tengeneza michoro ya Euler inayolingana na eneo ili kuonyesha uhusiano uliowekwa
Documentation Nyaraka
Data is only stored for analyses and deleted when the app is closed. Data huhifadhiwa kwa ajili ya uchambuzi na kufutwa tu wakati programu imefungwa.
Feedback Maoni
License: AGPLv3 Leseni: AGPLv3
Source Chanzo
Data includes {n_pairs} pairs of highly correlated variables. Data inajumuisha jozi {n_pairs} za vigeu vinavyohusiana sana.
Create plot Unda njama
Coefficients plot Mchoro wa viambato
Checks Hundi
Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters. Hapa chini kuna jedwali la muhtasari kwa ajili ya ufahamu wa haraka, na upande wa kulia unaweza kuibua madarasa ya data, kuvinjari uchunguzi na kutumia vichujio tofauti vya data.
Browse observations Vinjari uchunguzi
Settings Mipangilio
The following error occured on determining correlations: Hitilafu ifuatayo ilitokea katika kubaini uhusiano:
We encountered the following error creating your report: Tulikutana na hitilafu ifuatayo katika kuunda ripoti yako:
No missing observations Hakuna uchunguzi unaokosekana
There is a total of {p_miss} % missing observations. Kuna jumla ya uchunguzi wa {p_miss}% unaokosekana.
Median: Wastani:
Restore original data Rejesha data asili
Reset to original imported dataset. Careful! There is no un-doing. Rudisha kwenye seti ya data asili iliyoingizwa. Kuwa mwangalifu! Hakuna kutengua.
Characteristics Sifa
Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list. Vigezo vya vipengele/kategoria pekee ndivyo vinavyopatikana kwa ajili ya uainishaji wa tabaka. Rudi kwenye kichupo cha 'Tayarisha' ili kupanga upya kigezo ikiwa hakipo kwenye orodha.
Compare strata? Linganisha tabaka?
Correlations Uhusiano
To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'. Ili kuepuka kutathmini uhusiano wa kigezo cha matokeo, hii inaweza kutengwa kwenye njama au kuchagua 'hakuna'.
Correlation cut-off Kikomo cha uhusiano
Set the cut-off for considered 'highly correlated'. Weka kikomo cha 'kinachohusiana sana'.
Missings Hazipo
Class Darasa
Observations Uchunguzi
Data classes and missing observations Madarasa ya data na uchunguzi unaokosekana
Sure you want to reset data? This cannot be undone. Una uhakika unataka kuweka upya data? Hii haiwezi kutenduliwa.
Cancel Ghairi
Confirm Thibitisha
The filtered data Data iliyochujwa
Create new factor Unda kipengele kipya
This window is aimed at advanced users and require some *R*-experience! Dirisha hili linalenga watumiaji wa hali ya juu na linahitaji uzoefu wa *R*!
Create new variables Unda vigezo vipya
Select data types to include Chagua aina za data za kujumuisha
Uploaded data overview Muhtasari wa data iliyopakiwa
Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias. Hapa kuna muhtasari wa jinsi data yako inavyotafsiriwa, na mahali ambapo data inakosekana. Tumia taarifa hii kuzingatia ikiwa data inakosekana bila mpangilio au ikiwa baadhi ya uchunguzi unakosekana kimfumo ambao unaweza kusababishwa na upendeleo wa uchunguzi.
Specify covariables Bainisha vigeu vinavyoweza kuunganishwa
If none are selected, all are included. Ikiwa hakuna aliyechaguliwa, wote wamejumuishwa.
Analyse Changanua
Working... Inafanya kazi...
Press 'Analyse' to create the regression model and after changing parameters. Bonyeza 'Changanua' ili kuunda modeli ya urejeshaji na baada ya kubadilisha vigezo.
Show p-value Onyesha thamani ya p
Model checks Ukaguzi wa modeli
Please confirm data reset! Tafadhali thibitisha urejeshaji wa data!
Import data from REDCap Ingiza data kutoka REDCap
REDCap server Seva ya REDCap
Web address Anwani ya wavuti
Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/' Muundo unapaswa kuwa 'https://redcap.your.institution/' au 'https://your.institution/redcap/'
API token Tokeni ya API
The token is a string of 32 numbers and letters. Tokeni ni mfuatano wa nambari na herufi 32.
Connect Unganisha
Data import parameters Vigezo vya kuingiza data
Select fields/variables to import and click the funnel to apply optional filters Chagua sehemu/vigezo vya kuingiza na ubofye faneli ili kutumia vichujio vya hiari
Import Ingiza
Click to see data dictionary Bofya ili kuona kamusi ya data
Connected to server! Imeunganishwa na seva!
The {data_rv$info$project_title} project is loaded. Mradi wa {data_rv$info$project_title} umepakiwa.
Data dictionary Kamusi ya data
Preview: Hakikisho:
Imported data set Seti ya data iliyoingizwa
Select fields/variables to import: Chagua sehemu/vigezo vya kuingiza:
Specify the data format Bainisha umbizo la data
Fill missing values? Jaza thamani zinazokosekana?
Requested data was retrieved! Data iliyoombwa ilipatikana!
Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data imerejeshwa, lakini inaonekana ni kitambulisho pekee kilichorejeshwa kutoka kwa seva. Tafadhali wasiliana na msimamizi wako wa REDCap kama una ruhusa zinazohitajika kwa ufikiaji wa data.
Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data imerejeshwa, lakini inaonekana kama si sehemu zote zilizoombwa zilizorejeshwa kutoka kwa seva. Tafadhali wasiliana na msimamizi wako wa REDCap kama una ruhusa zinazohitajika kwa ufikiaji wa data.
Click to see the imported data Bofya ili kuona data iliyoingizwa
Regression table Jedwali la urejeshaji
Import a dataset from an environment Ingiza seti ya data kutoka kwa mazingira
Select a dataset: Chagua seti ya data:
List of datasets... Orodha ya seti za data...
No data selected! Hakuna data iliyochaguliwa!
No dataset here... Hakuna seti ya data hapa...
Use a dataset from your environment or from the environment of a package. Tumia seti ya data kutoka kwa mazingira yako au kutoka kwa mazingira ya kifurushi.
Not a data.frame Sio data.frame
Select source Chagua chanzo
Select a data source: Chagua chanzo cha data:
Yes Ndiyo
No Hapana
Coefficient plot Mchoro wa mgawo
Select outcome variable Chagua kigezo cha matokeo
Choose regression analysis Chagua uchanganuzi wa marejeleo
Covariables to format as categorical Vigezo vinavyoweza kubadilishwa ili viundwe kama vya kategoria
Select variable to stratify baseline Chagua kigezo ili kuweka tabaka la msingi
Select models to plot Chagua mifano ya kuchora
Creating regression models failed with the following error: Kuunda mifumo ya urejeshaji kumeshindwa kutokana na hitilafu ifuatayo:
Creating a regression table failed with the following error: Kuunda jedwali la urejelezaji kulishindwa kutokana na hitilafu ifuatayo:
Saving the plot. Hold on for a moment.. Kuhifadhi njama. Subiri kwa muda..
Running model assumptions checks failed with the following error: Kuendesha ukaguzi wa mawazo ya modeli kulishindwa na hitilafu ifuatayo:
Select checks to plot Chagua ukaguzi wa kupanga
Multivariable regression model checks Ukaguzi wa modeli ya urejeshaji unaoweza kubadilika-badilika
Grouped by {get_label(data,ter)} Imepangwa kwa makundi kulingana na {get_label(data,ter)}
Option to perform statistical comparisons between strata in baseline table. Chaguo la kufanya ulinganisho wa takwimu kati ya tabaka katika jedwali la msingi.
Press 'Evaluate' to create the comparison table. Bonyeza 'Tathmini' ili kuunda jedwali la kulinganisha.
The data includes {n_col} variables. Please limit to 100. Data inajumuisha vigezo vya {n_col}. Tafadhali punguza hadi 100.
Data import Uingizaji wa data
Data import formatting Uumbizaji wa kuingiza data
Data modifications Marekebisho ya data
Variables filter Kichujio cha vigeugeu
Data filter Kichujio cha data
Data characteristics table Jedwali la sifa za data
The dataset without text variables Seti ya data bila vigeu vya maandishi
Creating the table. Hold on for a moment.. Kutengeneza meza. Subiri kwa muda..
Generating the report. Hold on for a moment.. Inazalisha ripoti. Subiri kidogo..
We encountered the following error showing missingness: Tulikutana na hitilafu ifuatayo inayoonyesha ukosefu:
We encountered the following error browsing your data: Tulipata hitilafu ifuatayo wakati wa kuvinjari data yako:
Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything. Chagua jina la safu wima itakayoundwa au kurekebishwa, kisha ingiza usemi kabla ya kubofya kitufe kilicho hapa chini ili kuunda kigezo, au ghairi ili kutoka bila kuhifadhi chochote.
Other Nyingine
Hour of the day Saa ya siku
Breaks Mapumziko
By day of the week Kwa siku ya wiki
By weekday Kufikia siku ya wiki
By week number and year Kwa idadi ya wiki na mwaka
By week number Kwa nambari ya wiki
By month and year Kwa mwezi na mwaka
By month only Kwa mwezi pekee
By quarter of the year Kufikia robo ya mwaka
By year Kwa mwaka
Keep only most common Weka pekee ya kawaida
Number Nambari
Combine below percentage Changanya chini ya asilimia
Percentage Asilimia
By specified numbers Kwa nambari zilizoainishwa
By quantiles (groups of equal size) Kwa quantiles (vikundi vya ukubwa sawa)
Please fill in web address and API token, then press 'Connect'. Tafadhali jaza anwani ya wavuti na tokeni ya API, kisha bonyeza 'Unganisha'.
There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data. Kuna chaguo za hali ya juu zaidi za kurekebisha vigezo vya vipengele/kategoria pamoja na kuunda kipengele kipya kutoka kwa kigezo kilichopo au vigezo vipya vyenye msimbo wa R. Chini unaweza kurejesha data asili.
Text or character to split string by Maandishi au herufi ya kugawanya mfuatano kwa
Split the variable Gawanya kigezo
Variable to split: Kinachoweza kubadilika hadi kugawanyika:
Direction: Mwelekeo:
Split string to multiple columns. Keep number of rows. Gawanya mfuatano katika safu wima nyingi. Weka idadi ya safu wima.
Split string to multiple observations (rows) in the same column. Also ads id and instance columns Gawanya mfuatano katika uchunguzi mwingi (safu) katika safu wima moja. Pia vitambulisho vya matangazo na safu wima za mfano
Split character string Gawanya mfuatano wa herufi
Split text Gawanya maandishi
Split a character string by a common delimiter Gawanya mfuatano wa herufi kwa kitenganishi cha kawaida
Select delimiter Chagua kidhibiti
Browse data preview Vinjari hakikisho la data
Original data Data asili
Preview of result Hakikisho la matokeo
No character variables with accepted delimiters detected. Hakuna vigezo vya herufi vilivyo na vidhibiti vinavyokubalika vilivyogunduliwa.
Split a text column by a recognised delimiter. Gawanya safu wima ya maandishi kwa kitenga kinachotambulika.
Apply split Tumia mgawanyiko
Stacked relative barplot Kipande cha baruni kilichopangwa kwa mirundiko
Create relative stacked barplots to show the distribution of categorical levels Unda viwanja vya baruni vilivyopangwa ili kuonyesha usambazaji wa viwango vya kategoria
Side-by-side barplot Kipande cha baruni cha kando kwa kando
Create side-by-side barplot to show the distribution of categorical levels Unda mpangilio wa barufa kando ili kuonyesha usambazaji wa viwango vya kategoria
Select table theme Chagua mandhari ya jedwali
Level of detail Kiwango cha maelezo
Minimal Kidogo
Extensive Kina
Letters Barua
Words Maneno
Shorten to first letters Fupisha herufi za kwanza
Shorten to first words Fupisha maneno ya kwanza
Missings across variables by the variable **'{input$missings_var}'** Hazipo katika vigezo kwa kigezo **'{input$missings_var}'**
Missing vs non-missing observations in the variable **'{input$missings_var}'** Uchunguzi unaokosekana dhidi ya usiokosekana katika kigezo **'{input$missings_var}'**
Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random. Tathmini upungufu kwa kulinganisha thamani zinazokosekana katika vigezo (hiari zilizopangwa kwa mujibu wa kigezo cha kategoria au cha pande mbili) au linganisha vigezo vilivyopangwa kwa mujibu wa hali inayokosekana (inayokosekana au isiyokosekana) ya kigezo cha matokeo. Ikiwa kuna tofauti kubwa katika upungufu, hii inaweza kusababisha upendeleo katika data yako na inapaswa kuzingatiwa kwa uangalifu kutafsiri data na uchambuzi kwani data inaweza isikosekane bila mpangilio.
Calculating. Hold tight for a moment.. Kuhesabu. Shikilia kwa muda..
Overview of missing observations Muhtasari wa uchunguzi uliokosekana
Analysis method for missingness overview Mbinu ya uchambuzi wa muhtasari wa kukosekana
Overview of missings across variables Muhtasari wa mambo yanayokosekana katika vigezo
Overview of difference in variables by missing status in outcome Muhtasari wa tofauti katika vigezo kwa kukosa hali katika matokeo
Select a variable for grouped overview Chagua kigezo cha muhtasari wa kikundi
Select outcome variable for overview Chagua kigezo cha matokeo kwa muhtasari
No outcome measure chosen Hakuna kipimo cha matokeo kilichochaguliwa
There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}. Kuna tofauti kubwa katika ukosefu wa data katika {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} zilizopangwa kwa mujibu wa kigezo kilichochaguliwa cha matokeo/upangaji {outcome}.
Include group differences Jumuisha tofauti za vikundi
Error: Hitilafu:
Download table Pakua jedwali
Welcome to FreesearchR Karibu kwenye FreesearchR
A free data analysis tool for clinicians, students, and learners Zana ya uchambuzi wa data bila malipo kwa madaktari, wanafunzi, na wanafunzi
Core Features Vipengele vya Msingi
Import Data Ingiza Data
Data Management Usimamizi wa Data
Filter, modify, and create new variables. Prepare your data efficiently for analysis. Chuja, rekebisha, na uunde vigeu vipya. Tayarisha data yako kwa ufanisi kwa ajili ya uchambuzi.
Descriptive Statistics Takwimu za Maelezo
Additional Capabilities Uwezo wa Ziada
Data Visualization Uonyeshaji wa Data
Create simple, clean plots for quick insights and overview Unda michoro rahisi na safi kwa ajili ya maarifa ya haraka na muhtasari
Regression Models Mifumo ya Urejeshaji
Build simple regression models for advanced analysis Jenga mifumo rahisi ya urejelezaji kwa ajili ya uchambuzi wa hali ya juu
Export & Learn Hamisha na Ujifunze
Download Results Pakua Matokeo
Get Modified Data Pata Data Iliyorekebishwa
Reproducible Code Nambari Inayoweza Kurudiwa
Full Documentation Nyaraka Kamili
Share Feedback Shiriki Maoni
Contact Us Wasiliana Nasi
FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org FreesearchR inapatikana katika lugha nyingi. Ili kukusaidia na tafsiri, tafadhali wasiliana nasi kwa info@freesearchr.org.
Home Nyumbani
Start with FreesearchR for basic data evaluation and analysis. Anza na FreesearchR kwa tathmini na uchambuzi wa data ya msingi.
When you need more advanced tools, you'll be better prepared to use R directly. Unapohitaji zana za hali ya juu zaidi, utakuwa tayari zaidi kutumia R moja kwa moja.
(Read more) (Soma zaidi)
Run the FreesearchR app locally when working with sensitive data. Endesha programu ya FreesearchR ndani ya eneo lako unapofanya kazi na data nyeti.
Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility. Pakia data kutoka kwa lahajedwali, seva za REDCap, au jaribu na data ya sampuli. Vyanzo vingi vinaungwa mkono kwa unyumbufu wa hali ya juu.
Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively. Tathmini data kwa kutumia uchambuzi wa maelezo, kagua uhusiano, na uhakiki uchunguzi unaokosekana kwa ufanisi.
Export results directly to your text editor Hamisha matokeo moja kwa moja kwenye kihariri chako cha maandishi
Save your processed datasets for later Hifadhi seti zako za data zilizosindikwa kwa ajili ya baadaye
Learn and reproduce results in R Jifunze na uzalishe matokeo katika R
When you need more advanced tools, you'll be prepared to use R directly. Unapohitaji zana za hali ya juu zaidi, utakuwa tayari kutumia R moja kwa moja.
The app contains a selelct number of features and will guide you through key analyses. The app contains a selelct number of features and will guide you through key analyses.
Sort by Levels Sort by Levels
31 Reorder factor levels Reorder factor levels
32 Modify factor levels Reorder the levels of factor/categorical variables. Modify factor levels Reorder the levels of factor/categorical variables.
33 Reorder or rename the levels of factor/categorical variables. New factor Reorder or rename the levels of factor/categorical variables. New factor
34 Create factor/categorical variable from a continous variable (number/date/time). Create factor/categorical variable from a continous variable (number/date/time).
35 New variable New variable
36 Create a new variable based on an R-expression. Create a new variable based on an R-expression.
37 Compare modified data to original Compare modified data to original
38 Raw print of the original vs the modified data. Raw print of the original vs the modified data.
39 Original data: Data asili:
40 Modified data: Data iliyobadilishwa:
41 New column name: New column name:
42 Group calculation by: Group calculation by:
43 Enter an expression to define new column: Enter an expression to define new column:
44 Click on a column name to add it to the expression: Click on a column name to add it to the expression:
45 Create column Create column
46 New column name cannot be empty New column name cannot be empty
47 Create a new column Create a new column
48 Some operations are not allowed Some operations are not allowed
49 Column added! Column added!
50 Unique values: Unique values:
51 Variable to cut: Variable to cut:
52 Close intervals on the right Close intervals on the right
53 Include lowest value Include lowest value
54 Create factor variable Create factor variable
55 Fixed breaks: Fixed breaks:
56 Method: Method:
57 Convert Numeric to Factor Convert Numeric to Factor
58 Unique: Unique:
59 Missing: Missing:
60 Most Common: Most Common:
61 Min: Min:
62 Mean: Mean:
63 Max: Max:
64 Decimal separator: Decimal separator:
65 First five rows are shown below: First five rows are shown below:
66 Imported data Imported data
67 www/intro.md www/intro.md
68 Choose your data Choose your data
69 Upload a file, get data directly from REDCap or use local or sample data. Upload a file, get data directly from REDCap or use local or sample data.
70 Factor variable to reorder: Factor variable to reorder:
71 Sort by levels Sort by levels
72 Sort by count Sort by count
73 Create a new variable (otherwise replaces the one selected) Create a new variable (otherwise replaces the one selected)
74 Update factor variable Update factor variable
75 Sort count Sort count
76 Levels Levels
77 Count Count
78 Update levels of a factor Update levels of a factor
79 Update & select variables Update & select variables
80 Date format: Date format:
81 Date to use as origin to convert date/datetime: Date to use as origin to convert date/datetime:
82 Apply changes Apply changes
83 No data to display. No data to display.
84 Data successfully updated! Data successfully updated!
85 You removed {p_out} % of observations. You removed {p_out} % of observations.
86 You removed {p_out} % of variables. You removed {p_out} % of variables.
87 You can import {file_extensions_text} files You can import {file_extensions_text} files
88 You can choose between these file types: You can choose between these file types:
89 Rows to skip before reading data: Rows to skip before reading data:
90 Missing values character(s): Missing values character(s):
91 if several use a comma (',') to separate them if several use a comma (',') to separate them
92 Encoding: Encoding:
93 Upload a file: Upload a file:
94 Browse... Browse...
95 Select sheet to import: Select sheet to import:
96 No file selected. No file selected.
97 Evaluate Evaluate
98 Visuals Visuals
99 Regression Regression
100 Download Download
101 {data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases. {data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.
102 Prepare Prepare
103 At 0, only complete variables are included; at 100, all variables are included. At 0, only complete variables are included; at 100, all variables are included.
104 The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent. The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.
105 No variables have a correlation measure above the threshold. No variables have a correlation measure above the threshold.
106 and and
107 from each pair from each pair
108 Only non-text variables are available for plotting. Go the "Data" to reclass data to plot. Only non-text variables are available for plotting. Go the "Data" to reclass data to plot.
109 Plot Plot
110 Adjust settings, then press "Plot". Adjust settings, then press "Plot".
111 Plot height (mm) Plot height (mm)
112 Plot width (mm) Plot width (mm)
113 File format File format
114 Download plot Download plot
115 Select variable Select variable
116 Response variable Response variable
117 Plot type Plot type
118 Please select Please select
119 Additional variables Additional variables
120 Secondary variable Secondary variable
121 No variable No variable
122 Grouping variable Grouping variable
123 No stratification No stratification
124 Drawing the plot. Hold tight for a moment.. Drawing the plot. Hold tight for a moment..
125 #Plotting\n #Plotting\n
126 Stacked horizontal bars Stacked horizontal bars
127 A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars
128 Violin plot Violin plot
129 A modern alternative to the classic boxplot to visualise data distribution A modern alternative to the classic boxplot to visualise data distribution
130 Sankey plot Sankey plot
131 A way of visualising change between groups A way of visualising change between groups
132 Scatter plot Scatter plot
133 A classic way of showing the association between to variables A classic way of showing the association between to variables
134 Box plot Box plot
135 A classic way to plot data distribution by groups A classic way to plot data distribution by groups
136 Euler diagram Euler diagram
137 Generate area-proportional Euler diagrams to display set relationships Generate area-proportional Euler diagrams to display set relationships
138 Documentation Documentation
139 Data is only stored for analyses and deleted when the app is closed. Data is only stored for analyses and deleted when the app is closed.
140 Feedback Feedback
141 License: AGPLv3 License: AGPLv3
142 Source Source
143 Data includes {n_pairs} pairs of highly correlated variables. Data includes {n_pairs} pairs of highly correlated variables.
144 Create plot Create plot
145 Coefficients plot Coefficients plot
146 Checks Checks
147 Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters. Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters.
148 Browse observations Browse observations
149 Settings Settings
150 The following error occured on determining correlations: The following error occured on determining correlations:
151 We encountered the following error creating your report: We encountered the following error creating your report:
152 No missing observations No missing observations
153 There is a total of {p_miss} % missing observations. There is a total of {p_miss} % missing observations.
154 Median: Median:
155 Restore original data Restore original data
156 Reset to original imported dataset. Careful! There is no un-doing. Reset to original imported dataset. Careful! There is no un-doing.
157 Characteristics Characteristics
158 Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list. Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.
159 Compare strata? Compare strata?
160 Correlations Correlations
161 To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'. To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.
162 Correlation cut-off Correlation cut-off
163 Set the cut-off for considered 'highly correlated'. Set the cut-off for considered 'highly correlated'.
164 Missings Missings
165 Class Class
166 Observations Observations
167 Data classes and missing observations Data classes and missing observations
168 Sure you want to reset data? This cannot be undone. Sure you want to reset data? This cannot be undone.
169 Cancel Cancel
170 Confirm Confirm
171 The filtered data The filtered data
172 Create new factor Create new factor
173 This window is aimed at advanced users and require some *R*-experience! This window is aimed at advanced users and require some *R*-experience!
174 Create new variables Create new variables
175 Select data types to include Select data types to include
176 Uploaded data overview Uploaded data overview
177 Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias. Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.
178 Specify covariables Specify covariables
179 If none are selected, all are included. If none are selected, all are included.
180 Analyse Analyse
181 Working... Working...
182 Press 'Analyse' to create the regression model and after changing parameters. Press 'Analyse' to create the regression model and after changing parameters.
183 Show p-value Show p-value
184 Model checks Model checks
185 Please confirm data reset! Please confirm data reset!
186 Import data from REDCap Import data from REDCap
187 REDCap server REDCap server
188 Web address Web address
189 Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/' Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'
190 API token API token
191 The token is a string of 32 numbers and letters. The token is a string of 32 numbers and letters.
192 Connect Connect
193 Data import parameters Data import parameters
194 Select fields/variables to import and click the funnel to apply optional filters Select fields/variables to import and click the funnel to apply optional filters
195 Import Import
196 Click to see data dictionary Click to see data dictionary
197 Connected to server! Connected to server!
198 The {data_rv$info$project_title} project is loaded. The {data_rv$info$project_title} project is loaded.
199 Data dictionary Data dictionary
200 Preview: Preview:
201 Imported data set Imported data set
202 Select fields/variables to import: Select fields/variables to import:
203 Specify the data format Specify the data format
204 Fill missing values? Fill missing values?
205 Requested data was retrieved! Requested data was retrieved!
206 Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.
207 Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access. Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.
208 Click to see the imported data Click to see the imported data
209 Regression table Regression table
210 Import a dataset from an environment Import a dataset from an environment
211 Select a dataset: Select a dataset:
212 List of datasets... List of datasets...
213 No data selected! No data selected!
214 No dataset here... No dataset here...
215 Use a dataset from your environment or from the environment of a package. Use a dataset from your environment or from the environment of a package.
216 Not a data.frame Not a data.frame
217 Select source Select source
218 Select a data source: Select a data source:
219 Yes Yes
220 No No
221 Coefficient plot Coefficient plot
222 Select outcome variable Select outcome variable
223 Choose regression analysis Choose regression analysis
224 Covariables to format as categorical Covariables to format as categorical
225 Select variable to stratify baseline Select variable to stratify baseline
226 Select models to plot Select models to plot
227 Creating regression models failed with the following error: Creating regression models failed with the following error:
228 Creating a regression table failed with the following error: Creating a regression table failed with the following error:
229 Saving the plot. Hold on for a moment.. Saving the plot. Hold on for a moment..
230 Running model assumptions checks failed with the following error: Running model assumptions checks failed with the following error:
231 Select checks to plot Select checks to plot
232 Multivariable regression model checks Multivariable regression model checks
233 Grouped by {get_label(data,ter)} Grouped by {get_label(data,ter)}
234 Option to perform statistical comparisons between strata in baseline table. Option to perform statistical comparisons between strata in baseline table.
235 Press 'Evaluate' to create the comparison table. Press 'Evaluate' to create the comparison table.
236 The data includes {n_col} variables. Please limit to 100. The data includes {n_col} variables. Please limit to 100.
237 Data import Data import
238 Data import formatting Data import formatting
239 Data modifications Data modifications
240 Variables filter Variables filter
241 Data filter Data filter
242 Data characteristics table Data characteristics table
243 The dataset without text variables The dataset without text variables
244 Creating the table. Hold on for a moment.. Creating the table. Hold on for a moment..
245 Generating the report. Hold on for a moment.. Generating the report. Hold on for a moment..
246 We encountered the following error showing missingness: We encountered the following error showing missingness:
247 We encountered the following error browsing your data: We encountered the following error browsing your data:
248 Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything. Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.
249 Other Other
250 Hour of the day Hour of the day
251 Breaks Breaks
252 By day of the week By day of the week
253 By weekday By weekday
254 By week number and year By week number and year
255 By week number By week number
256 By month and year By month and year
257 By month only By month only
258 By quarter of the year By quarter of the year
259 By year By year
260 Keep only most common Keep only most common
261 Number Number
262 Combine below percentage Combine below percentage
263 Percentage Percentage
264 By specified numbers By specified numbers
265 By quantiles (groups of equal size) By quantiles (groups of equal size)
266 Please fill in web address and API token, then press 'Connect'. Please fill in web address and API token, then press 'Connect'.
267 There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data. There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.
268 Text or character to split string by Text or character to split string by
269 Split the variable Split the variable
270 Variable to split: Variable to split:
271 Direction: Direction:
272 Split string to multiple columns. Keep number of rows. Split string to multiple columns. Keep number of rows.
273 Split string to multiple observations (rows) in the same column. Also ads id and instance columns Split string to multiple observations (rows) in the same column. Also ads id and instance columns
274 Split character string Split character string
275 Split text Split text
276 Split a character string by a common delimiter Split a character string by a common delimiter
277 Select delimiter Select delimiter
278 Browse data preview Browse data preview
279 Original data Original data
280 Preview of result Preview of result
281 No character variables with accepted delimiters detected. No character variables with accepted delimiters detected.
282 Split a text column by a recognised delimiter. Split a text column by a recognised delimiter.
283 Apply split Apply split
284 Stacked relative barplot Stacked relative barplot
285 Create relative stacked barplots to show the distribution of categorical levels Create relative stacked barplots to show the distribution of categorical levels
286 Side-by-side barplot Side-by-side barplot
287 Create side-by-side barplot to show the distribution of categorical levels Create side-by-side barplot to show the distribution of categorical levels
288 Select table theme Select table theme
289 Level of detail Level of detail
290 Minimal Minimal
291 Extensive Extensive
292 Letters Letters
293 Words Words
294 Shorten to first letters Shorten to first letters
295 Shorten to first words Shorten to first words
296 Missings across variables by the variable **'{input$missings_var}'** Missings across variables by the variable **'{input$missings_var}'**
297 Missing vs non-missing observations in the variable **'{input$missings_var}'** Missing vs non-missing observations in the variable **'{input$missings_var}'**
298 Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random. Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.
299 Calculating. Hold tight for a moment.. Calculating. Hold tight for a moment..
300 Overview of missing observations Overview of missing observations
301 Analysis method for missingness overview Analysis method for missingness overview
302 Overview of missings across variables Overview of missings across variables
303 Overview of difference in variables by missing status in outcome Overview of difference in variables by missing status in outcome
304 Select a variable for grouped overview Select a variable for grouped overview
305 Select outcome variable for overview Select outcome variable for overview
306 No outcome measure chosen No outcome measure chosen
307 There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}. There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.
308 Include group differences Include group differences
309 Error: Error:
310 Download table Download table
311 Welcome to FreesearchR Welcome to FreesearchR
312 A free data analysis tool for clinicians, students, and learners A free data analysis tool for clinicians, students, and learners
313 Core Features Core Features
314 Import Data Import Data
315 Data Management Data Management
316 Filter, modify, and create new variables. Prepare your data efficiently for analysis. Filter, modify, and create new variables. Prepare your data efficiently for analysis.
317 Descriptive Statistics Descriptive Statistics
318 Additional Capabilities Additional Capabilities
319 Data Visualization Data Visualization
320 Create simple, clean plots for quick insights and overview Create simple, clean plots for quick insights and overview
321 Regression Models Regression Models
322 Build simple regression models for advanced analysis Build simple regression models for advanced analysis
323 Export & Learn Export & Learn
324 Download Results Download Results
325 Get Modified Data Get Modified Data
326 Reproducible Code Reproducible Code
327 Full Documentation Full Documentation
328 Share Feedback Share Feedback
329 Contact Us Contact Us
330 FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org
331 Home Home
332 Start with FreesearchR for basic data evaluation and analysis. Start with FreesearchR for basic data evaluation and analysis.
333 When you need more advanced tools, you'll be better prepared to use R directly. When you need more advanced tools, you'll be better prepared to use R directly.
334 (Read more) (Read more)
335 Run the FreesearchR app locally when working with sensitive data. Run the FreesearchR app locally when working with sensitive data.
336 Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility. Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.
337 Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively. Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.
338 Export results directly to your text editor Export results directly to your text editor
339 Save your processed datasets for later Save your processed datasets for later
340 Learn and reproduce results in R Learn and reproduce results in R
341 When you need more advanced tools, you'll be prepared to use R directly. When you need more advanced tools, you'll be prepared to use R directly.