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Andreas Gammelgaard Damsbo 2025-09-10 14:56:43 +02:00
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6 changed files with 81 additions and 71 deletions
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19
R/helpers.R
View file

@ -361,16 +361,17 @@ data_description <- function(data, data_text = "Data") {
n <- nrow(data) n <- nrow(data)
n_var <- ncol(data) n_var <- ncol(data)
n_complete <- sum(complete.cases(data)) n_complete <- sum(complete.cases(data))
p_complete <- n_complete / n p_complete <- signif(100 * n_complete / n, 3)
sprintf( glue::glue(i18n$t("{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases."))
"%s has %s observations and %s variables, with %s (%s%%) complete cases.", # sprintf(
data_text, # "%s has %s observations and %s variables, with %s (%s%%) complete cases.",
n, # data_text,
n_var, # n,
n_complete, # n_var,
signif(100 * p_complete, 3) # n_complete,
) # p_complete
# )
} }

12
R/ui_elements.R
View file

@ -131,7 +131,7 @@ ui_elements <- function(selection) {
format = shinyWidgets::wNumbFormat(decimals = 0), format = shinyWidgets::wNumbFormat(decimals = 0),
color = datamods:::get_primary_color() color = datamods:::get_primary_color()
), ),
shiny::helpText(i18n$t("Only include variables missing less observations than the specified percentage. At 0, only complete variables are included; at 100, all variables are included.")), shiny::helpText(i18n$t("At 0, only complete variables are included; at 100, all variables are included.")),
shiny::br() shiny::br()
), ),
shiny::column( shiny::column(
@ -167,7 +167,7 @@ ui_elements <- function(selection) {
######### #########
############################################################################## ##############################################################################
"prepare" = bslib::nav_menu( "prepare" = bslib::nav_menu(
title = "Prepare", title = i18n$t("Prepare"),
icon = shiny::icon("pen-to-square"), icon = shiny::icon("pen-to-square"),
value = "nav_prepare", value = "nav_prepare",
bslib::nav_panel( bslib::nav_panel(
@ -337,7 +337,7 @@ ui_elements <- function(selection) {
############################################################################## ##############################################################################
"describe" = "describe" =
bslib::nav_menu( bslib::nav_menu(
title = "Evaluate", title = i18n$t("Evaluate"),
icon = shiny::icon("magnifying-glass-chart"), icon = shiny::icon("magnifying-glass-chart"),
value = "nav_describe", value = "nav_describe",
# id = "navdescribe", # id = "navdescribe",
@ -451,7 +451,7 @@ ui_elements <- function(selection) {
bslib::nav_panel, bslib::nav_panel,
c( c(
list( list(
title = "Visuals", title = i18n$t("Visuals"),
icon = shiny::icon("chart-line"), icon = shiny::icon("chart-line"),
value = "nav_visuals" value = "nav_visuals"
), ),
@ -472,7 +472,7 @@ ui_elements <- function(selection) {
############################################################################## ##############################################################################
"analyze" = "analyze" =
bslib::nav_panel( bslib::nav_panel(
title = "Regression", title = i18n$t("Regression"),
icon = shiny::icon("calculator"), icon = shiny::icon("calculator"),
value = "nav_analyses", value = "nav_analyses",
do.call( do.call(
@ -487,7 +487,7 @@ ui_elements <- function(selection) {
############################################################################## ##############################################################################
"download" = "download" =
bslib::nav_panel( bslib::nav_panel(
title = "Download", title = i18n$t("Download"),
icon = shiny::icon("download"), icon = shiny::icon("download"),
value = "nav_download", value = "nav_download",
shiny::fluidRow( shiny::fluidRow(

1
R/update-variables-ext.R
View file

@ -115,7 +115,6 @@ update_variables_server <- function(id,
output$data_info <- shiny::renderUI({ output$data_info <- shiny::renderUI({
shiny::req(data_r()) shiny::req(data_r())
data_description(data_r()) data_description(data_r())
# sprintf(i18n$t("Data has %s observations and %s variables."), nrow(data), ncol(data))
}) })
variables_r <- shiny::reactive({ variables_r <- shiny::reactive({

32
inst/apps/FreesearchR/app.R
View file

@ -3748,16 +3748,17 @@ data_description <- function(data, data_text = "Data") {
n <- nrow(data) n <- nrow(data)
n_var <- ncol(data) n_var <- ncol(data)
n_complete <- sum(complete.cases(data)) n_complete <- sum(complete.cases(data))
p_complete <- n_complete / n p_complete <- signif(100 * n_complete / n, 3)
sprintf( glue::glue(i18n$t("{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases."))
"%s has %s observations and %s variables, with %s (%s%%) complete cases.", # sprintf(
data_text, # "%s has %s observations and %s variables, with %s (%s%%) complete cases.",
n, # data_text,
n_var, # n,
n_complete, # n_var,
signif(100 * p_complete, 3) # n_complete,
) # p_complete
# )
} }
@ -8493,7 +8494,7 @@ ui_elements <- function(selection) {
format = shinyWidgets::wNumbFormat(decimals = 0), format = shinyWidgets::wNumbFormat(decimals = 0),
color = datamods:::get_primary_color() color = datamods:::get_primary_color()
), ),
shiny::helpText(i18n$t("Only include variables missing less observations than the specified percentage. At 0, only complete variables are included; at 100, all variables are included.")), shiny::helpText(i18n$t("At 0, only complete variables are included; at 100, all variables are included.")),
shiny::br() shiny::br()
), ),
shiny::column( shiny::column(
@ -8529,7 +8530,7 @@ ui_elements <- function(selection) {
######### #########
############################################################################## ##############################################################################
"prepare" = bslib::nav_menu( "prepare" = bslib::nav_menu(
title = "Prepare", title = i18n$t("Prepare"),
icon = shiny::icon("pen-to-square"), icon = shiny::icon("pen-to-square"),
value = "nav_prepare", value = "nav_prepare",
bslib::nav_panel( bslib::nav_panel(
@ -8699,7 +8700,7 @@ ui_elements <- function(selection) {
############################################################################## ##############################################################################
"describe" = "describe" =
bslib::nav_menu( bslib::nav_menu(
title = "Evaluate", title = i18n$t("Evaluate"),
icon = shiny::icon("magnifying-glass-chart"), icon = shiny::icon("magnifying-glass-chart"),
value = "nav_describe", value = "nav_describe",
# id = "navdescribe", # id = "navdescribe",
@ -8813,7 +8814,7 @@ ui_elements <- function(selection) {
bslib::nav_panel, bslib::nav_panel,
c( c(
list( list(
title = "Visuals", title = i18n$t("Visuals"),
icon = shiny::icon("chart-line"), icon = shiny::icon("chart-line"),
value = "nav_visuals" value = "nav_visuals"
), ),
@ -8834,7 +8835,7 @@ ui_elements <- function(selection) {
############################################################################## ##############################################################################
"analyze" = "analyze" =
bslib::nav_panel( bslib::nav_panel(
title = "Regression", title = i18n$t("Regression"),
icon = shiny::icon("calculator"), icon = shiny::icon("calculator"),
value = "nav_analyses", value = "nav_analyses",
do.call( do.call(
@ -8849,7 +8850,7 @@ ui_elements <- function(selection) {
############################################################################## ##############################################################################
"download" = "download" =
bslib::nav_panel( bslib::nav_panel(
title = "Download", title = i18n$t("Download"),
icon = shiny::icon("download"), icon = shiny::icon("download"),
value = "nav_download", value = "nav_download",
shiny::fluidRow( shiny::fluidRow(
@ -9398,7 +9399,6 @@ update_variables_server <- function(id,
output$data_info <- shiny::renderUI({ output$data_info <- shiny::renderUI({
shiny::req(data_r()) shiny::req(data_r())
data_description(data_r()) data_description(data_r())
# sprintf(i18n$t("Data has %s observations and %s variables."), nrow(data), ncol(data))
}) })
variables_r <- shiny::reactive({ variables_r <- shiny::reactive({

79
inst/translations/translation_da.csv
View file

@ -4,44 +4,44 @@
"File upload","Upload fil" "File upload","Upload fil"
"REDCap server export","REDCap server export" "REDCap server export","REDCap server export"
"Local or sample data","Lokal eller testdata" "Local or sample data","Lokal eller testdata"
"Please be mindfull handling sensitive data","Please be mindfull handling sensitive data" "Please be mindfull handling sensitive data","Pas godt på og overvej nøje hvordan du håndterer personfølsomme data"
"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)." "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).","***FreesearchR*** opbevarer alene data i forbindelse med din analyse, men du bør kun behandle personfølsomme data når du kører ***FreesearchR*** direkte på din egen maskine. [Læs mere her](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine)."
"Quick overview","Quick overview" "Quick overview","Hurtigt overblik"
"Select variables for final import","Select variables for final import" "Select variables for final import","Vælg variabler til den endelige import"
"Exclude incomplete variables:","Exclude incomplete variables:" "Exclude incomplete variables:","Ekskluder inkomplette variabler:"
"Manual selection:","Manual selection:" "Manual selection:","Manuel udvælgelse:"
"Let's begin!","Let's begin!" "Let's begin!","Kom i gang!"
"Analysis validation","Analysis validation" "Analysis validation","Analysevalidering"
"Report","Rapport" "Report","Rapport"
"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." "Choose your favourite output file format for further work, and download, when the analyses are done.","Vælge dit foretrukne dataformat, og hent data, når du er ærdig med databehandlingen."
"www/intro.html","www/intro_da.html" "www/intro.html","www/intro_da.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>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>","<p><em><strong>FreesearchR</strong></em> opbevarer alene data i forbindelse med din analyse, men du bør kun behandle personfølsomme data når du kører <em><strong>FreesearchR</strong></em> direkte på dine egen maskine. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Læs mere her</a></p>"
"Overview and filter","Overview and filter" "Overview and filter","Overblik og filtre"
"Overview and filtering","Overview and filtering" "Overview and filtering","Overblik og filtrering"
"Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse data and apply different data filters.","Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse data and apply different data filters." "Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse data and apply different data filters.","Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse data and apply different data filters."
"Visual overview","Visual overview" "Visual overview","Visuelt overblik"
"Browse data","Browse data" "Browse data","Udforsk data"
"Filter data types","Filter data types" "Filter data types","Filtrer datatyper"
"Filter observations","Filter observations" "Filter observations","Filtrer observationer"
"Apply filter on observation","Apply filter on observation" "Apply filter on observation","Anvend filtre af observationer"
"Edit and create data","Edit and create data" "Edit and create data","Ændr og opret variabler"
"Subset, rename and convert variables","Subset, rename and convert variables" "Subset, rename and convert variables","Udvælg, omdøb og konverter variabler"
"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.)." "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.)."
"There are more advanced options to modify factor/categorical variables as well as create new factor from a continous 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 a continous 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 a continous 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 a continous variable or new variables with R code. At the bottom you can restore the original data."
"Please note that data modifications are applied before any filtering.","Please note that data modifications are applied before any filtering." "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" "Advanced data manipulation","Avanceret datamanipulation"
"Below options allow more advanced varaible manipulations.","Below options allow more advanced varaible manipulations." "Below options allow more advanced varaible manipulations.","Below options allow more advanced varaible manipulations."
"Reorder factor levels","Reorder factor levels" "Reorder factor levels","Arranger niveuer i faktor"
"Reorder the levels of factor/categorical variables.","Reorder the levels of factor/categorical variables." "Reorder the levels of factor/categorical variables.","Reorder the levels of factor/categorical variables."
"New factor","New factor" "New factor","Ny faktor"
"Create factor/categorical variable from a continous variable (number/date/time).","Create factor/categorical variable from a continous variable (number/date/time)." "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" "New variable","Ny variabel"
"Create a new variable based on an R-expression.","Create a new variable based on an R-expression." "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" "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." "Raw print of the original vs the modified data.","Raw print of the original vs the modified data."
"Original data:","Original data:" "Original data:","Original data:"
"Modified data:","Modified data:" "Modified data:","Ændret data:"
"New column name:","New column name:" "New column name:","Navn til ny variabel:"
"Group calculation by:","Group calculation by:" "Group calculation by:","Group calculation by:"
"Enter an expression to define new column:","Enter an expression to define new column:" "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:" "Click on a column name to add it to the expression:","Click on a column name to add it to the expression:"
@ -84,22 +84,27 @@
"Count","Antal" "Count","Antal"
"Update levels of a factor","Updater niveauerne for en faktor" "Update levels of a factor","Updater niveauerne for en faktor"
"Update & select variables","Update & select variables" "Update & select variables","Update & select variables"
"Date format:","Date format:" "Date format:","Datoformat:"
"Date to use as origin to convert date/datetime:","Date to use as origin to convert date/datetime:" "Date to use as origin to convert date/datetime:","Date to use as origin to convert date/datetime:"
"Apply changes","Apply changes" "Apply changes","Apply changes"
"Data has %s observations and %s variables.","Data has %s observations and %s variables." "No data to display.","Ingen data at vise."
"No data to display.","No data to display." "Data successfully updated!","Data er opdateret!"
"Data successfully updated!","Data successfully updated!"
"Only include variables missing less observations than the specified percentage. At 0, only complete variables are included; at 100, all variables are included.","Only include variables missing less observations than the specified percentage. At 0, only complete variables are included; at 100, all variables are included."
"You removed {p_out} % of observations.","Du har fjernet {p_out} % af observationerne." "You removed {p_out} % of observations.","Du har fjernet {p_out} % af observationerne."
"You removed {p_out} % of variables.","Du har fjernet {p_out} % af variablerne." "You removed {p_out} % of variables.","Du har fjernet {p_out} % af variablerne."
"You can import {file_extensions_text} files","Du kan vælge mellem disse filtyper: {file_extensions_text}." "You can import {file_extensions_text} files","Du kan vælge mellem disse filtyper: {file_extensions_text}."
"You can choose between these file types:","Du kan vælge mellem følgene filtyper:" "You can choose between these file types:","Du kan vælge mellem følgene filtyper:"
"Rows to skip before reading data:","Rows to skip before reading data:" "Rows to skip before reading data:","Rækker der skal springes over:"
"Missing values character(s):","Missing values character(s):" "Missing values character(s):","Tegn for manglende værdier:"
"if several use a comma (',') to separate them","if several use a comma (',') to separate them" "if several use a comma (',') to separate them","if several use a comma (',') to separate them"
"Encoding:","Encoding:" "Encoding:","Kodning:"
"Upload a file:","Upload a file:" "Upload a file:","Upload en fil:"
"Browse...","Browse..." "Browse...","Vælg..."
"Select sheet to import:","Select sheet to import:" "Select sheet to import:","Vælg ark:"
"No file selected.","No file selected." "No file selected.","Ingen fil valgt."
"Evaluate","Evaluer"
"Visuals","Grafik"
"Regression","Regression"
"Download","Download"
"{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.","{data_text} har {n} observationer og {n_var} variabler, med {n_complete} ({p_complete} %) komplette cases."
"Prepare","Forbered"
"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."

1 en da
4 File upload Upload fil
5 REDCap server export REDCap server export
6 Local or sample data Lokal eller testdata
7 Please be mindfull handling sensitive data Please be mindfull handling sensitive data Pas godt på og overvej nøje hvordan du håndterer personfølsomme data
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). 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). ***FreesearchR*** opbevarer alene data i forbindelse med din analyse, men du bør kun behandle personfølsomme data når du kører ***FreesearchR*** direkte på din egen maskine. [Læs mere her](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).
9 Quick overview Quick overview Hurtigt overblik
10 Select variables for final import Select variables for final import Vælg variabler til den endelige import
11 Exclude incomplete variables: Exclude incomplete variables: Ekskluder inkomplette variabler:
12 Manual selection: Manual selection: Manuel udvælgelse:
13 Let's begin! Let's begin! Kom i gang!
14 Analysis validation Analysis validation Analysevalidering
15 Report Rapport
16 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. Vælge dit foretrukne dataformat, og hent data, når du er ærdig med databehandlingen.
17 www/intro.html www/intro_da.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>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><em><strong>FreesearchR</strong></em> opbevarer alene data i forbindelse med din analyse, men du bør kun behandle personfølsomme data når du kører <em><strong>FreesearchR</strong></em> direkte på dine egen maskine. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Læs mere her</a></p>
19 Overview and filter Overview and filter Overblik og filtre
20 Overview and filtering Overview and filtering Overblik og filtrering
21 Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse data and apply different data filters. Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse data and apply different data filters.
22 Visual overview Visual overview Visuelt overblik
23 Browse data Browse data Udforsk data
24 Filter data types Filter data types Filtrer datatyper
25 Filter observations Filter observations Filtrer observationer
26 Apply filter on observation Apply filter on observation Anvend filtre af observationer
27 Edit and create data Edit and create data Ændr og opret variabler
28 Subset, rename and convert variables Subset, rename and convert variables Udvælg, omdøb og konverter variabler
29 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.).
30 There are more advanced options to modify factor/categorical variables as well as create new factor from a continous 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 a continous variable or new variables with R code. At the bottom you can restore the original data.
31 Please note that data modifications are applied before any filtering. Please note that data modifications are applied before any filtering.
32 Advanced data manipulation Advanced data manipulation Avanceret datamanipulation
33 Below options allow more advanced varaible manipulations. Below options allow more advanced varaible manipulations.
34 Reorder factor levels Reorder factor levels Arranger niveuer i faktor
35 Reorder the levels of factor/categorical variables. Reorder the levels of factor/categorical variables.
36 New factor New factor Ny faktor
37 Create factor/categorical variable from a continous variable (number/date/time). Create factor/categorical variable from a continous variable (number/date/time).
38 New variable New variable Ny variabel
39 Create a new variable based on an R-expression. Create a new variable based on an R-expression.
40 Compare modified data to original Compare modified data to original
41 Raw print of the original vs the modified data. Raw print of the original vs the modified data.
42 Original data: Original data:
43 Modified data: Modified data: Ændret data:
44 New column name: New column name: Navn til ny variabel:
45 Group calculation by: Group calculation by:
46 Enter an expression to define new column: Enter an expression to define new column:
47 Click on a column name to add it to the expression: Click on a column name to add it to the expression:
84 Count Antal
85 Update levels of a factor Updater niveauerne for en faktor
86 Update & select variables Update & select variables
87 Date format: Date format: Datoformat:
88 Date to use as origin to convert date/datetime: Date to use as origin to convert date/datetime:
89 Apply changes Apply changes
90 Data has %s observations and %s variables. No data to display. Data has %s observations and %s variables. Ingen data at vise.
91 No data to display. Data successfully updated! No data to display. Data er opdateret!
Data successfully updated! Data successfully updated!
Only include variables missing less observations than the specified percentage. At 0, only complete variables are included; at 100, all variables are included. Only include variables missing less observations than the specified percentage. At 0, only complete variables are included; at 100, all variables are included.
92 You removed {p_out} % of observations. Du har fjernet {p_out} % af observationerne.
93 You removed {p_out} % of variables. Du har fjernet {p_out} % af variablerne.
94 You can import {file_extensions_text} files Du kan vælge mellem disse filtyper: {file_extensions_text}.
95 You can choose between these file types: Du kan vælge mellem følgene filtyper:
96 Rows to skip before reading data: Rows to skip before reading data: Rækker der skal springes over:
97 Missing values character(s): Missing values character(s): Tegn for manglende værdier:
98 if several use a comma (',') to separate them if several use a comma (',') to separate them
99 Encoding: Encoding: Kodning:
100 Upload a file: Upload a file: Upload en fil:
101 Browse... Browse... Vælg...
102 Select sheet to import: Select sheet to import: Vælg ark:
103 No file selected. No file selected. Ingen fil valgt.
104 Evaluate Evaluer
105 Visuals Grafik
106 Regression Regression
107 Download Download
108 {data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases. {data_text} har {n} observationer og {n_var} variabler, med {n_complete} ({p_complete} %) komplette cases.
109 Prepare Forbered
110 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.

9
inst/translations/translation_sw.csv
View file

@ -87,10 +87,8 @@
"Date format:","Date format:" "Date format:","Date format:"
"Date to use as origin to convert date/datetime:","Date to use as origin to convert date/datetime:" "Date to use as origin to convert date/datetime:","Date to use as origin to convert date/datetime:"
"Apply changes","Apply changes" "Apply changes","Apply changes"
"Data has %s observations and %s variables.","Data has %s observations and %s variables."
"No data to display.","No data to display." "No data to display.","No data to display."
"Data successfully updated!","Data successfully updated!" "Data successfully updated!","Data successfully updated!"
"Only include variables missing less observations than the specified percentage. At 0, only complete variables are included; at 100, all variables are included.","Only include variables missing less observations than the specified percentage. At 0, only complete variables are included; at 100, all variables are included."
"You removed {p_out} % of observations.","You removed {p_out} % of observations." "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 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 import {file_extensions_text} files","You can import {file_extensions_text} files"
@ -103,3 +101,10 @@
"Browse...","Browse..." "Browse...","Browse..."
"Select sheet to import:","Select sheet to import:" "Select sheet to import:","Select sheet to import:"
"No file selected.","No file selected." "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."

1 en sw
87 Date format: Date format:
88 Date to use as origin to convert date/datetime: Date to use as origin to convert date/datetime:
89 Apply changes Apply changes
Data has %s observations and %s variables. Data has %s observations and %s variables.
90 No data to display. No data to display.
91 Data successfully updated! Data successfully updated!
Only include variables missing less observations than the specified percentage. At 0, only complete variables are included; at 100, all variables are included. Only include variables missing less observations than the specified percentage. At 0, only complete variables are included; at 100, all variables are included.
92 You removed {p_out} % of observations. You removed {p_out} % of observations.
93 You removed {p_out} % of variables. You removed {p_out} % of variables.
94 You can import {file_extensions_text} files You can import {file_extensions_text} files
101 Browse... Browse...
102 Select sheet to import: Select sheet to import:
103 No file selected. No file selected.
104 Evaluate Evaluate
105 Visuals Visuals
106 Regression Regression
107 Download Download
108 {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.
109 Prepare Prepare
110 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.