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chore: new translations

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Andreas Gammelgaard Damsbo 2025-09-25 12:17:17 +02:00
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4
NEWS.md
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@ -1,7 +1,9 @@
# FreesearchR 25.9.2 - DEV
# FreesearchR 25.9.2
*NEW* Improvements to translations with more strings having been translated.
The Euler visualisation option has been limited to only plot dichotomous variables. This is also what makes the most sense.
# FreesearchR 25.9.1
*NEW* Language has been revised to make the app more accessible and easier to understand.

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R/sysdata.rda
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3
R/ui_elements.R
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@ -525,7 +525,8 @@ ui_elements <- function(selection) {
outputId = "report",
label = "Download report",
icon = shiny::icon("download")
)
),
shiny::br()
# shiny::helpText("If choosing to output to MS Word, please note, that when opening the document, two errors will pop-up. Choose to repair and choose not to update references. The issue is being worked on. You can always choose LibreOffice instead."),
),
shiny::column(

16
SESSION.md
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@ -11,11 +11,11 @@
|collate |en_US.UTF-8 |
|ctype |en_US.UTF-8 |
|tz |Europe/Copenhagen |
|date |2025-09-24 |
|date |2025-09-25 |
|rstudio |2025.05.0+496 Mariposa Orchid (desktop) |
|pandoc |3.6.4 @ /opt/homebrew/bin/ (via rmarkdown) |
|quarto |1.7.30 @ /usr/local/bin/quarto |
|FreesearchR |25.9.2.250924 |
|FreesearchR |25.9.2.250925 |
--------------------------------------------------------------------------------
@ -26,6 +26,8 @@
|apexcharter |0.4.4 |2024-09-06 |CRAN (R 4.4.1) |
|askpass |1.2.1 |2024-10-04 |CRAN (R 4.4.1) |
|assertthat |0.2.1 |2019-03-21 |CRAN (R 4.4.1) |
|attachment |0.4.5 |2025-03-14 |CRAN (R 4.4.1) |
|attempt |0.3.1 |2020-05-03 |CRAN (R 4.4.1) |
|backports |1.5.0 |2024-05-23 |CRAN (R 4.4.1) |
|base64enc |0.1-3 |2015-07-28 |CRAN (R 4.4.1) |
|bayestestR |0.16.1 |2025-07-01 |CRAN (R 4.4.1) |
@ -39,7 +41,6 @@
|bsicons |0.1.2 |2023-11-04 |CRAN (R 4.4.0) |
|bslib |0.9.0 |2025-01-30 |CRAN (R 4.4.1) |
|cachem |1.1.0 |2024-05-16 |CRAN (R 4.4.1) |
|callr |3.7.6 |2024-03-25 |CRAN (R 4.4.0) |
|cards |0.6.1 |2025-07-03 |CRAN (R 4.4.1) |
|cardx |0.2.5 |2025-07-03 |CRAN (R 4.4.1) |
|caTools |1.18.3 |2024-09-04 |CRAN (R 4.4.1) |
@ -61,6 +62,7 @@
|devtools |2.4.5 |2022-10-11 |CRAN (R 4.4.0) |
|DHARMa |0.4.7 |2024-10-18 |CRAN (R 4.4.1) |
|digest |0.6.37 |2024-08-19 |CRAN (R 4.4.1) |
|dockerfiler |0.2.5 |2025-05-07 |CRAN (R 4.4.1) |
|doParallel |1.0.17 |2022-02-07 |CRAN (R 4.4.0) |
|dplyr |1.1.4 |2023-11-17 |CRAN (R 4.4.0) |
|DT |0.33 |2024-04-04 |CRAN (R 4.4.0) |
@ -114,6 +116,7 @@
|KernSmooth |2.23-26 |2025-01-01 |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) |
|labeling |0.4.3 |2023-08-29 |CRAN (R 4.4.1) |
|later |1.4.2 |2025-04-08 |CRAN (R 4.4.1) |
|lattice |0.22-7 |2025-04-02 |CRAN (R 4.4.1) |
|lifecycle |1.0.4 |2023-11-07 |CRAN (R 4.4.1) |
@ -144,10 +147,10 @@
|pillar |1.11.0 |2025-07-04 |CRAN (R 4.4.1) |
|pkgbuild |1.4.8 |2025-05-26 |CRAN (R 4.4.1) |
|pkgconfig |2.0.3 |2019-09-22 |CRAN (R 4.4.1) |
|pkgdown |2.1.3 |2025-05-25 |CRAN (R 4.4.1) |
|pkgload |1.4.0 |2024-06-28 |CRAN (R 4.4.0) |
|plyr |1.8.9 |2023-10-02 |CRAN (R 4.4.1) |
|polyclip |1.10-7 |2024-07-23 |CRAN (R 4.4.1) |
|polylabelr |0.3.0 |2024-11-19 |CRAN (R 4.4.1) |
|pracma |2.4.4 |2023-11-10 |CRAN (R 4.4.1) |
|processx |3.8.6 |2025-02-21 |CRAN (R 4.4.1) |
|profvis |0.4.0 |2024-09-20 |CRAN (R 4.4.1) |
@ -158,9 +161,6 @@
|qqconf |1.3.2 |2023-04-14 |CRAN (R 4.4.0) |
|qqplotr |0.0.6 |2023-01-25 |CRAN (R 4.4.0) |
|quarto |1.5.0 |2025-07-28 |RSPM (R 4.4.0) |
|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) |
|ragg |1.4.0 |2025-04-10 |CRAN (R 4.4.1) |
|rankinPlot |1.1.0 |2023-01-30 |CRAN (R 4.4.0) |
@ -195,6 +195,7 @@
|sessioninfo |1.2.3 |2025-02-05 |CRAN (R 4.4.1) |
|shiny |1.11.1 |2025-07-03 |CRAN (R 4.4.1) |
|shiny.i18n |0.3.0 |2023-01-16 |CRAN (R 4.4.0) |
|shiny2docker |0.0.3 |2025-06-28 |CRAN (R 4.4.1) |
|shinybusy |0.3.3 |2024-03-09 |CRAN (R 4.4.0) |
|shinyjs |2.1.0 |2021-12-23 |CRAN (R 4.4.0) |
|shinyTime |1.0.3 |2022-08-19 |CRAN (R 4.4.0) |
@ -224,4 +225,5 @@
|xml2 |1.3.8 |2025-03-14 |CRAN (R 4.4.1) |
|xtable |1.8-4 |2019-04-21 |CRAN (R 4.4.1) |
|yaml |2.3.10 |2024-07-26 |CRAN (R 4.4.1) |
|yesno |0.1.3 |2024-07-26 |CRAN (R 4.4.1) |
|zip |2.3.3 |2025-05-13 |CRAN (R 4.4.1) |

11
app_docker/app.R
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@ -1,7 +1,7 @@
########
#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmpCENEZ9/file6e544614c472.R
#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//Rtmpo2rU34/file15cb36d55cf55.R
########
i18n_path <- here::here("translations")
@ -2205,11 +2205,11 @@ supported_plots <- function() {
fun = "plot_euler",
descr = i18n$t("Euler diagram"),
note = i18n$t("Generate area-proportional Euler diagrams to display set relationships"),
primary.type = c("dichotomous", "categorical"),
secondary.type = c("dichotomous", "categorical"),
primary.type = c("dichotomous"),
secondary.type = c("dichotomous"),
secondary.multi = TRUE,
secondary.max = 4,
tertiary.type = c("dichotomous", "categorical"),
tertiary.type = c("dichotomous"),
secondary.extra = NULL
)
)
@ -8790,7 +8790,8 @@ ui_elements <- function(selection) {
outputId = "report",
label = "Download report",
icon = shiny::icon("download")
)
),
shiny::br()
# shiny::helpText("If choosing to output to MS Word, please note, that when opening the document, two errors will pop-up. Choose to repair and choose not to update references. The issue is being worked on. You can always choose LibreOffice instead."),
),
shiny::column(

104
app_docker/translations/translation_da.csv
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@ -129,79 +129,79 @@
"Drawing the plot. Hold tight for a moment..","Tegner grafikken. Spænd selen.."
"#Plotting\n","#Tegner\n"
"Stacked horizontal bars","Stablede horisontale søjler"
"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"
"A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars","En klassisk visualisering af fordelingen af observationer på en ordinal kategorisk skala. Typisk brugt til modified Rankin Scale og kendes også som 'Grotta bars'"
"Violin plot","Violin-diagram"
"A modern alternative to the classic boxplot to visualise data distribution","Moderne alternativ til den klassiske box-plot og velegnet til at visualisere fordelingen af observationer"
"Sankey plot","Sankey-diagram"
"A way of visualising change between groups","Visualiserer ændring mellem grupper for samme type observationer"
"Scatter plot","Punkt-diagram"
"A classic way of showing the association between to variables","Visualiserer forholdet mellem to variabler"
"Box plot","Kasse-diagram"
"A classic way to plot data distribution by groups","Klassik måde at visualisere fordeling"
"Euler diagram","Eulerdiagram"
"Generate area-proportional Euler diagrams to display set relationships","Generate area-proportional Euler diagrams to display set relationships"
"Generate area-proportional Euler diagrams to display set relationships","Generer proportionelt Euler-diagram for at vise forhold mellem forskellige kategoriske observationer"
"Documentation","Dokumentation"
"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."
"Consider [running ***FreesearchR*** locally](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) if working with sensitive data.","Consider [running ***FreesearchR*** locally](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) if working with sensitive data."
"Data is only stored for analyses and deleted when the app is closed.","Data opbevares alene til brug i analyser og slettes så snart appen lukkes."
"Consider [running ***FreesearchR*** locally](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) if working with sensitive data.","Overvej at [køre ***FreesearchR*** lokalt](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) hvis du arbejder med personfølsomme data."
"Feedback","Feedback"
"License: AGPLv3","Licens: AGPLv3"
"Source","Kilde"
"Data includes {n_pairs} pairs of highly correlated variables.","Der er {n_pairs} variabel-par, der er stærkt internt korrelerede."
"Create plot","Dan grafik"
"Coefficients plot","Koefficientgraf"
"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."
"Checks","Test af model"
"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.","Nedenfor er en opsummerende tabel, der giver hurtigt overblik. Til højre kan du få et visuelt overblik, gennemgå observationer og oprette datafiltre."
"Browse observations","Gennemse observationer"
"Settings","Indstillinger"
"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:"
"The following error occured on determining correlations:","Følgende fejl opstod i forbindelse med korrelationsanalysen:"
"We encountered the following error creating your report:","Følgende fejl opstod, da rapporten blev dannet:"
"No variable chosen for analysis","Ingen variabel er valgt til analysen"
"No missing observations","Ingen manglende observationer"
"Missing vs non-missing observations in the variable **'{variabler()}'**","Manglende vs ikke-manglende observationer i variablen **'{variabler()}'**"
"There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}.","There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}."
"There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}.","Der er en betydelig korrelation blandt {n_nonmcar} variabler sammenlignet efter manglende observationer i {outcome}."
"There is a total of {p_miss} % missing observations.","Der er i alt {p_miss} % manglende observationer."
"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"
"Restore original data","Gendan originale data"
"Reset to original imported dataset. Careful! There is no un-doing.","Gendan det oprindeligt importerede datasæt. Forsigtig! Alle dine ændringer vil forsvinde."
"Characteristics","Karakteristika"
"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.","Alene kategoriske variabler kan danne grundlag for stratificering. Mangler du en variabel, så gå til ""Forbered"" og omklassificer til kategorisk."
"Compare strata?","Sammenlign strata?"
"Correlations","Korrelationer"
"To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.","For at udelukke svarvariablen fra korrelationsanalysen, så kan du vælge din svarvariabel eller vælge 'non', hvis du ikke vil angive en."
"Correlation cut-off","Korrelationsgrænse"
"Set the cut-off for considered 'highly correlated'.","Angiv grænsen for. hvad, der tolkes som 'betydelig korrelation'."
"Missings","Manglende observationer"
"To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not.","To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not."
"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"
"Class","Klasse"
"Observations","Observationer"
"Data classes and missing observations","Dataklasser og manglende observationer"
"Sure you want to reset data? This cannot be undone.","Er du sikker på at du vil gendanne data? Det kan ikke fortrydes."
"Cancel","Afbryd"
"Confirm","Bekræft"
"The filtered data","Filtreret data"
"Create new factor","Ny kategorisk variabel"
"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"
"Create new variables","Opret ny variabel"
"Select data types to include","Vælg datatyper, der skal inkluderes"
"Uploaded data overview","Overblik over uploaded 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\n","#Data import\n"
"#Data import formatting\n","#Data import formatting\n"
"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"
"#Data import formatting\n","#Formatering ved data-import\n"
"Specify covariables","Angiv kovariabler"
"If none are selected, all are included.","Hvis ingen er valgt inkluderes alle."
"Analyse","Analysér"
"Working...","Arbejder..."
"Press 'Analyse' to create the regression model and after changing parameters.","Tryk 'Analysér' for at danne regressionsmodel og for at opdatere hvis parametre ændres."
"Show p-value","Vis p-værdi"
"Model checks","Model-test"
"Please confirm data reset!","Bekræft gendannelse af data!"
"Import data from REDCap","Importér data fra 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/'"
"Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'","Adressen skal være som 'https://redcap.your.institution/' eller '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"
"The token is a string of 32 numbers and letters.","En API-nøgle består af ialt 32 tal og bogstaver."
"Connect","Forbind"
"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"

1 en da
129 Drawing the plot. Hold tight for a moment.. Tegner grafikken. Spænd selen..
130 #Plotting\n #Tegner\n
131 Stacked horizontal bars Stablede horisontale søjler
132 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 En klassisk visualisering af fordelingen af observationer på en ordinal kategorisk skala. Typisk brugt til modified Rankin Scale og kendes også som 'Grotta bars'
133 Violin plot Violin plot Violin-diagram
134 A modern alternative to the classic boxplot to visualise data distribution A modern alternative to the classic boxplot to visualise data distribution Moderne alternativ til den klassiske box-plot og velegnet til at visualisere fordelingen af observationer
135 Sankey plot Sankey plot Sankey-diagram
136 A way of visualising change between groups A way of visualising change between groups Visualiserer ændring mellem grupper for samme type observationer
137 Scatter plot Scatter plot Punkt-diagram
138 A classic way of showing the association between to variables A classic way of showing the association between to variables Visualiserer forholdet mellem to variabler
139 Box plot Box plot Kasse-diagram
140 A classic way to plot data distribution by groups A classic way to plot data distribution by groups Klassik måde at visualisere fordeling
141 Euler diagram Eulerdiagram
142 Generate area-proportional Euler diagrams to display set relationships Generate area-proportional Euler diagrams to display set relationships Generer proportionelt Euler-diagram for at vise forhold mellem forskellige kategoriske observationer
143 Documentation Dokumentation
144 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. Data opbevares alene til brug i analyser og slettes så snart appen lukkes.
145 Consider [running ***FreesearchR*** locally](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) if working with sensitive data. Consider [running ***FreesearchR*** locally](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) if working with sensitive data. Overvej at [køre ***FreesearchR*** lokalt](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) hvis du arbejder med personfølsomme data.
146 Feedback Feedback
147 License: AGPLv3 Licens: AGPLv3
148 Source Kilde
149 Data includes {n_pairs} pairs of highly correlated variables. Der er {n_pairs} variabel-par, der er stærkt internt korrelerede.
150 Create plot Dan grafik
151 Coefficients plot Koefficientgraf
152 Checks Checks Test af model
153 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. Nedenfor er en opsummerende tabel, der giver hurtigt overblik. Til højre kan du få et visuelt overblik, gennemgå observationer og oprette datafiltre.
154 Browse observations Gennemse observationer
155 Settings Indstillinger
156 The following error occured on determining correlations: The following error occured on determining correlations: Følgende fejl opstod i forbindelse med korrelationsanalysen:
157 We encountered the following error creating your report: We encountered the following error creating your report: Følgende fejl opstod, da rapporten blev dannet:
158 No variable chosen for analysis Ingen variabel er valgt til analysen
159 No missing observations Ingen manglende observationer
160 Missing vs non-missing observations in the variable **'{variabler()}'** Manglende vs ikke-manglende observationer i variablen **'{variabler()}'**
161 There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}. There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}. Der er en betydelig korrelation blandt {n_nonmcar} variabler sammenlignet efter manglende observationer i {outcome}.
162 There is a total of {p_miss} % missing observations. Der er i alt {p_miss} % manglende observationer.
163 Median: Median:
164 Restore original data Restore original data Gendan originale data
165 Reset to original imported dataset. Careful! There is no un-doing. Reset to original imported dataset. Careful! There is no un-doing. Gendan det oprindeligt importerede datasæt. Forsigtig! Alle dine ændringer vil forsvinde.
166 Characteristics Characteristics Karakteristika
167 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. Alene kategoriske variabler kan danne grundlag for stratificering. Mangler du en variabel, så gå til "Forbered" og omklassificer til kategorisk.
168 Compare strata? Compare strata? Sammenlign strata?
169 Correlations Correlations Korrelationer
170 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'. For at udelukke svarvariablen fra korrelationsanalysen, så kan du vælge din svarvariabel eller vælge 'non', hvis du ikke vil angive en.
171 Correlation cut-off Correlation cut-off Korrelationsgrænse
172 Set the cut-off for considered 'highly correlated'. Set the cut-off for considered 'highly correlated'. Angiv grænsen for. hvad, der tolkes som 'betydelig korrelation'.
173 Missings Missings Manglende observationer
174 To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not. To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not.
175 Class Class Klasse
176 Observations Observations Observationer
177 Data classes and missing observations Data classes and missing observations Dataklasser og manglende observationer
178 Sure you want to reset data? This cannot be undone. Sure you want to reset data? This cannot be undone. Er du sikker på at du vil gendanne data? Det kan ikke fortrydes.
179 Cancel Cancel Afbryd
180 Confirm Confirm Bekræft
181 The filtered data The filtered data Filtreret data
182 Create new factor Create new factor Ny kategorisk variabel
183 This window is aimed at advanced users and require some *R*-experience! This window is aimed at advanced users and require some *R*-experience!
184 Create new variables Create new variables Opret ny variabel
185 Select data types to include Select data types to include Vælg datatyper, der skal inkluderes
186 Uploaded data overview Uploaded data overview Overblik over uploaded data
187 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.
188 #Data import\n #Data import\n
189 #Data import formatting\n #Data import formatting\n #Formatering ved data-import\n
190 Specify covariables Specify covariables Angiv kovariabler
191 If none are selected, all are included. If none are selected, all are included. Hvis ingen er valgt inkluderes alle.
192 Analyse Analyse Analysér
193 Working... Working... Arbejder...
194 Press 'Analyse' to create the regression model and after changing parameters. Press 'Analyse' to create the regression model and after changing parameters. Tryk 'Analysér' for at danne regressionsmodel og for at opdatere hvis parametre ændres.
195 Show p-value Show p-value Vis p-værdi
196 Model checks Model checks Model-test
197 Please confirm data reset! Please confirm data reset! Bekræft gendannelse af data!
198 Import data from REDCap Import data from REDCap Importér data fra REDCap
199 REDCap server REDCap server REDCap-server
200 Web address Web address
201 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/' Adressen skal være som 'https://redcap.your.institution/' eller 'https://your.institution/redcap/'
202 API token API token
203 The token is a string of 32 numbers and letters. The token is a string of 32 numbers and letters. En API-nøgle består af ialt 32 tal og bogstaver.
204 Connect Connect Forbind
205 Data import parameters Data import parameters
206 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
207 Import Import

11
inst/apps/FreesearchR/app.R
View file

@ -1,7 +1,7 @@
########
#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//RtmpCENEZ9/file6e544faf2ed5.R
#### Current file: /var/folders/9l/xbc19wxx0g79jdd2sf_0v291mhwh7f/T//Rtmpo2rU34/file15cb31846160a.R
########
i18n_path <- system.file("translations", package = "FreesearchR")
@ -2205,11 +2205,11 @@ supported_plots <- function() {
fun = "plot_euler",
descr = i18n$t("Euler diagram"),
note = i18n$t("Generate area-proportional Euler diagrams to display set relationships"),
primary.type = c("dichotomous", "categorical"),
secondary.type = c("dichotomous", "categorical"),
primary.type = c("dichotomous"),
secondary.type = c("dichotomous"),
secondary.multi = TRUE,
secondary.max = 4,
tertiary.type = c("dichotomous", "categorical"),
tertiary.type = c("dichotomous"),
secondary.extra = NULL
)
)
@ -8790,7 +8790,8 @@ ui_elements <- function(selection) {
outputId = "report",
label = "Download report",
icon = shiny::icon("download")
)
),
shiny::br()
# shiny::helpText("If choosing to output to MS Word, please note, that when opening the document, two errors will pop-up. Choose to repair and choose not to update references. The issue is being worked on. You can always choose LibreOffice instead."),
),
shiny::column(

104
inst/translations/translation_da.csv
View file

@ -129,79 +129,79 @@
"Drawing the plot. Hold tight for a moment..","Tegner grafikken. Spænd selen.."
"#Plotting\n","#Tegner\n"
"Stacked horizontal bars","Stablede horisontale søjler"
"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"
"A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars","En klassisk visualisering af fordelingen af observationer på en ordinal kategorisk skala. Typisk brugt til modified Rankin Scale og kendes også som 'Grotta bars'"
"Violin plot","Violin-diagram"
"A modern alternative to the classic boxplot to visualise data distribution","Moderne alternativ til den klassiske box-plot og velegnet til at visualisere fordelingen af observationer"
"Sankey plot","Sankey-diagram"
"A way of visualising change between groups","Visualiserer ændring mellem grupper for samme type observationer"
"Scatter plot","Punkt-diagram"
"A classic way of showing the association between to variables","Visualiserer forholdet mellem to variabler"
"Box plot","Kasse-diagram"
"A classic way to plot data distribution by groups","Klassik måde at visualisere fordeling"
"Euler diagram","Eulerdiagram"
"Generate area-proportional Euler diagrams to display set relationships","Generate area-proportional Euler diagrams to display set relationships"
"Generate area-proportional Euler diagrams to display set relationships","Generer proportionelt Euler-diagram for at vise forhold mellem forskellige kategoriske observationer"
"Documentation","Dokumentation"
"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."
"Consider [running ***FreesearchR*** locally](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) if working with sensitive data.","Consider [running ***FreesearchR*** locally](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) if working with sensitive data."
"Data is only stored for analyses and deleted when the app is closed.","Data opbevares alene til brug i analyser og slettes så snart appen lukkes."
"Consider [running ***FreesearchR*** locally](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) if working with sensitive data.","Overvej at [køre ***FreesearchR*** lokalt](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) hvis du arbejder med personfølsomme data."
"Feedback","Feedback"
"License: AGPLv3","Licens: AGPLv3"
"Source","Kilde"
"Data includes {n_pairs} pairs of highly correlated variables.","Der er {n_pairs} variabel-par, der er stærkt internt korrelerede."
"Create plot","Dan grafik"
"Coefficients plot","Koefficientgraf"
"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."
"Checks","Test af model"
"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.","Nedenfor er en opsummerende tabel, der giver hurtigt overblik. Til højre kan du få et visuelt overblik, gennemgå observationer og oprette datafiltre."
"Browse observations","Gennemse observationer"
"Settings","Indstillinger"
"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:"
"The following error occured on determining correlations:","Følgende fejl opstod i forbindelse med korrelationsanalysen:"
"We encountered the following error creating your report:","Følgende fejl opstod, da rapporten blev dannet:"
"No variable chosen for analysis","Ingen variabel er valgt til analysen"
"No missing observations","Ingen manglende observationer"
"Missing vs non-missing observations in the variable **'{variabler()}'**","Manglende vs ikke-manglende observationer i variablen **'{variabler()}'**"
"There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}.","There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}."
"There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}.","Der er en betydelig korrelation blandt {n_nonmcar} variabler sammenlignet efter manglende observationer i {outcome}."
"There is a total of {p_miss} % missing observations.","Der er i alt {p_miss} % manglende observationer."
"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"
"Restore original data","Gendan originale data"
"Reset to original imported dataset. Careful! There is no un-doing.","Gendan det oprindeligt importerede datasæt. Forsigtig! Alle dine ændringer vil forsvinde."
"Characteristics","Karakteristika"
"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.","Alene kategoriske variabler kan danne grundlag for stratificering. Mangler du en variabel, så gå til ""Forbered"" og omklassificer til kategorisk."
"Compare strata?","Sammenlign strata?"
"Correlations","Korrelationer"
"To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.","For at udelukke svarvariablen fra korrelationsanalysen, så kan du vælge din svarvariabel eller vælge 'non', hvis du ikke vil angive en."
"Correlation cut-off","Korrelationsgrænse"
"Set the cut-off for considered 'highly correlated'.","Angiv grænsen for. hvad, der tolkes som 'betydelig korrelation'."
"Missings","Manglende observationer"
"To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not.","To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not."
"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"
"Class","Klasse"
"Observations","Observationer"
"Data classes and missing observations","Dataklasser og manglende observationer"
"Sure you want to reset data? This cannot be undone.","Er du sikker på at du vil gendanne data? Det kan ikke fortrydes."
"Cancel","Afbryd"
"Confirm","Bekræft"
"The filtered data","Filtreret data"
"Create new factor","Ny kategorisk variabel"
"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"
"Create new variables","Opret ny variabel"
"Select data types to include","Vælg datatyper, der skal inkluderes"
"Uploaded data overview","Overblik over uploaded 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\n","#Data import\n"
"#Data import formatting\n","#Data import formatting\n"
"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"
"#Data import formatting\n","#Formatering ved data-import\n"
"Specify covariables","Angiv kovariabler"
"If none are selected, all are included.","Hvis ingen er valgt inkluderes alle."
"Analyse","Analysér"
"Working...","Arbejder..."
"Press 'Analyse' to create the regression model and after changing parameters.","Tryk 'Analysér' for at danne regressionsmodel og for at opdatere hvis parametre ændres."
"Show p-value","Vis p-værdi"
"Model checks","Model-test"
"Please confirm data reset!","Bekræft gendannelse af data!"
"Import data from REDCap","Importér data fra 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/'"
"Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'","Adressen skal være som 'https://redcap.your.institution/' eller '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"
"The token is a string of 32 numbers and letters.","En API-nøgle består af ialt 32 tal og bogstaver."
"Connect","Forbind"
"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"

1 en da
129 Drawing the plot. Hold tight for a moment.. Tegner grafikken. Spænd selen..
130 #Plotting\n #Tegner\n
131 Stacked horizontal bars Stablede horisontale søjler
132 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 En klassisk visualisering af fordelingen af observationer på en ordinal kategorisk skala. Typisk brugt til modified Rankin Scale og kendes også som 'Grotta bars'
133 Violin plot Violin plot Violin-diagram
134 A modern alternative to the classic boxplot to visualise data distribution A modern alternative to the classic boxplot to visualise data distribution Moderne alternativ til den klassiske box-plot og velegnet til at visualisere fordelingen af observationer
135 Sankey plot Sankey plot Sankey-diagram
136 A way of visualising change between groups A way of visualising change between groups Visualiserer ændring mellem grupper for samme type observationer
137 Scatter plot Scatter plot Punkt-diagram
138 A classic way of showing the association between to variables A classic way of showing the association between to variables Visualiserer forholdet mellem to variabler
139 Box plot Box plot Kasse-diagram
140 A classic way to plot data distribution by groups A classic way to plot data distribution by groups Klassik måde at visualisere fordeling
141 Euler diagram Eulerdiagram
142 Generate area-proportional Euler diagrams to display set relationships Generate area-proportional Euler diagrams to display set relationships Generer proportionelt Euler-diagram for at vise forhold mellem forskellige kategoriske observationer
143 Documentation Dokumentation
144 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. Data opbevares alene til brug i analyser og slettes så snart appen lukkes.
145 Consider [running ***FreesearchR*** locally](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) if working with sensitive data. Consider [running ***FreesearchR*** locally](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) if working with sensitive data. Overvej at [køre ***FreesearchR*** lokalt](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine) hvis du arbejder med personfølsomme data.
146 Feedback Feedback
147 License: AGPLv3 Licens: AGPLv3
148 Source Kilde
149 Data includes {n_pairs} pairs of highly correlated variables. Der er {n_pairs} variabel-par, der er stærkt internt korrelerede.
150 Create plot Dan grafik
151 Coefficients plot Koefficientgraf
152 Checks Checks Test af model
153 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. Nedenfor er en opsummerende tabel, der giver hurtigt overblik. Til højre kan du få et visuelt overblik, gennemgå observationer og oprette datafiltre.
154 Browse observations Gennemse observationer
155 Settings Indstillinger
156 The following error occured on determining correlations: The following error occured on determining correlations: Følgende fejl opstod i forbindelse med korrelationsanalysen:
157 We encountered the following error creating your report: We encountered the following error creating your report: Følgende fejl opstod, da rapporten blev dannet:
158 No variable chosen for analysis Ingen variabel er valgt til analysen
159 No missing observations Ingen manglende observationer
160 Missing vs non-missing observations in the variable **'{variabler()}'** Manglende vs ikke-manglende observationer i variablen **'{variabler()}'**
161 There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}. There is a significant correlation between {n_nonmcar} variables and missing observations in the outcome variable {outcome}. Der er en betydelig korrelation blandt {n_nonmcar} variabler sammenlignet efter manglende observationer i {outcome}.
162 There is a total of {p_miss} % missing observations. Der er i alt {p_miss} % manglende observationer.
163 Median: Median:
164 Restore original data Restore original data Gendan originale data
165 Reset to original imported dataset. Careful! There is no un-doing. Reset to original imported dataset. Careful! There is no un-doing. Gendan det oprindeligt importerede datasæt. Forsigtig! Alle dine ændringer vil forsvinde.
166 Characteristics Characteristics Karakteristika
167 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. Alene kategoriske variabler kan danne grundlag for stratificering. Mangler du en variabel, så gå til "Forbered" og omklassificer til kategorisk.
168 Compare strata? Compare strata? Sammenlign strata?
169 Correlations Correlations Korrelationer
170 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'. For at udelukke svarvariablen fra korrelationsanalysen, så kan du vælge din svarvariabel eller vælge 'non', hvis du ikke vil angive en.
171 Correlation cut-off Correlation cut-off Korrelationsgrænse
172 Set the cut-off for considered 'highly correlated'. Set the cut-off for considered 'highly correlated'. Angiv grænsen for. hvad, der tolkes som 'betydelig korrelation'.
173 Missings Missings Manglende observationer
174 To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not. To consider if data is missing by random, choose the outcome/dependent variable, if it has any missings to evaluate if there is a significant difference across other variables depending on missing data or not.
175 Class Class Klasse
176 Observations Observations Observationer
177 Data classes and missing observations Data classes and missing observations Dataklasser og manglende observationer
178 Sure you want to reset data? This cannot be undone. Sure you want to reset data? This cannot be undone. Er du sikker på at du vil gendanne data? Det kan ikke fortrydes.
179 Cancel Cancel Afbryd
180 Confirm Confirm Bekræft
181 The filtered data The filtered data Filtreret data
182 Create new factor Create new factor Ny kategorisk variabel
183 This window is aimed at advanced users and require some *R*-experience! This window is aimed at advanced users and require some *R*-experience!
184 Create new variables Create new variables Opret ny variabel
185 Select data types to include Select data types to include Vælg datatyper, der skal inkluderes
186 Uploaded data overview Uploaded data overview Overblik over uploaded data
187 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.
188 #Data import\n #Data import\n
189 #Data import formatting\n #Data import formatting\n #Formatering ved data-import\n
190 Specify covariables Specify covariables Angiv kovariabler
191 If none are selected, all are included. If none are selected, all are included. Hvis ingen er valgt inkluderes alle.
192 Analyse Analyse Analysér
193 Working... Working... Arbejder...
194 Press 'Analyse' to create the regression model and after changing parameters. Press 'Analyse' to create the regression model and after changing parameters. Tryk 'Analysér' for at danne regressionsmodel og for at opdatere hvis parametre ændres.
195 Show p-value Show p-value Vis p-værdi
196 Model checks Model checks Model-test
197 Please confirm data reset! Please confirm data reset! Bekræft gendannelse af data!
198 Import data from REDCap Import data from REDCap Importér data fra REDCap
199 REDCap server REDCap server REDCap-server
200 Web address Web address
201 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/' Adressen skal være som 'https://redcap.your.institution/' eller 'https://your.institution/redcap/'
202 API token API token
203 The token is a string of 32 numbers and letters. The token is a string of 32 numbers and letters. En API-nøgle består af ialt 32 tal og bogstaver.
204 Connect Connect Forbind
205 Data import parameters Data import parameters
206 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
207 Import Import