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Andreas Gammelgaard Damsbo 2025-10-31 12:02:43 +01:00
parent 747670bb57
commit 653424692d
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8 changed files with 1931 additions and 214 deletions

View file

@ -498,6 +498,28 @@ subset_types <- function(data, types, type.fun = data_type) {
#' supported_plots() |> str()
supported_plots <- function() {
list(
plot_bar_rel = list(
fun = "plot_bar",
fun.args =list(style="fill"),
descr = i18n$t("Stacked relative barplot"),
note = i18n$t("Create relative stacked barplots to show the distribution of categorical levels"),
primary.type = c("dichotomous", "categorical"),
secondary.type = c("dichotomous", "categorical"),
secondary.multi = FALSE,
tertiary.type = c("dichotomous", "categorical"),
secondary.extra = NULL
),
plot_bar_abs = list(
fun = "plot_bar",
fun.args =list(style="dodge"),
descr = i18n$t("Side-by-side barplot"),
note = i18n$t("Create side-by-side barplot to show the distribution of categorical levels"),
primary.type = c("dichotomous", "categorical"),
secondary.type = c("dichotomous", "categorical"),
secondary.multi = FALSE,
tertiary.type = c("dichotomous", "categorical"),
secondary.extra = "none"
),
plot_hbars = list(
fun = "plot_hbars",
descr = i18n$t("Stacked horizontal bars"),
@ -566,28 +588,6 @@ supported_plots <- function() {
secondary.max = 4,
tertiary.type = c("dichotomous"),
secondary.extra = NULL
),
plot_bar_rel = list(
fun = "plot_bar",
fun.args =list(style="fill"),
descr = i18n$t("Stacked relative barplot"),
note = i18n$t("Create relative stacked barplots to show the distribution of categorical levels"),
primary.type = c("dichotomous", "categorical"),
secondary.type = c("dichotomous", "categorical"),
secondary.multi = FALSE,
tertiary.type = c("dichotomous", "categorical"),
secondary.extra = NULL
),
plot_bar_abs = list(
fun = "plot_bar",
fun.args =list(style="dodge"),
descr = i18n$t("Side-by-side barplot"),
note = i18n$t("Create side-by-side barplot to show the distribution of categorical levels"),
primary.type = c("dichotomous", "categorical"),
secondary.type = c("dichotomous", "categorical"),
secondary.multi = FALSE,
tertiary.type = c("dichotomous", "categorical"),
secondary.extra = "none"
)
)
}

View file

@ -99,12 +99,14 @@ plot_bar_single <- function(data, pri, sec = NULL, style = c("stack", "dodge", "
ggplot2::geom_bar(position = style, stat = "identity") +
ggplot2::scale_y_continuous(labels = scales::percent) +
ggplot2::ylab("Percentage") +
ggplot2::xlab(get_label(data,pri))
ggplot2::xlab(get_label(data,pri))+
ggplot2::guides(fill = ggplot2::guide_legend(title = get_label(data,fill)))
## To handle large number of levels and long level names
if (nrow(p_data) > 10 | any(nchar(as.character(p_data[[pri]])) > 6)) {
p <- p +
ggplot2::guides(fill = "none") +
# ggplot2::guides(fill = "none") +
ggplot2::theme(
axis.text.x = ggplot2::element_text(
angle = 90,
@ -113,6 +115,11 @@ plot_bar_single <- function(data, pri, sec = NULL, style = c("stack", "dodge", "
ggplot2::theme(
axis.text.x = ggplot2::element_text(vjust = 0.5)
)
if (is.null(sec)){
p <- p +
ggplot2::guides(fill = "none")
}
}
p
}

File diff suppressed because it is too large Load diff

View file

@ -49,7 +49,6 @@
"Column added!","Variabel oprettet!"
"Unique values:","Unikke værdier:"
"Variable to cut:","Variabel, der skal deles:"
"Number of breaks:","Antal niveauer:"
"Close intervals on the right","Luk intervaller til højre"
"Include lowest value","Inkluderer den laveste værdi"
"Create factor variable","Opret kategorisk variabel"
@ -255,20 +254,40 @@
"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.","Vælg et navn til den nye variabel, skriv din formel og tryk så på knappen for at gemme variablen, eller annuler for at lukke uden at gemme."
"Please fill in web address and API token, then press 'Connect'.","Udfyld serveradresse og API-nøgle, og tryk så 'Fobind'."
"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 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)"
"By week number","By week number"
"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."
"Hour of the day","Time på dagen"
"Breaks","Grupper"
"By day of the week","Efter ugedag"
"By weekday","Efter ugedag"
"By week number and year","Efter ugenummer og årstal"
"By month and year","Efter måned og årstal"
"By month only","Efter måned alene"
"By quarter of the year","Efter kvartal"
"By year","Efter år"
"Keep only most common","Behold kun de hyppigste"
"Number","Antal"
"Combine below percentage","Kombiner under procentsats"
"Percentage","Procentsats"
"By specified numbers","Efter specifikke værdier"
"By quantiles (groups of equal size)","I grupper af samme størrelse"
"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."
"Split the variable","Split the variable"
"Original data","Original data"
"Preview of result","Preview of result"
"No character variables with accepted delimiters detected.","No character variables with accepted delimiters detected."
"Variable to split:","Variable to split:"
"Text or character to split string by","Text or character to split string by"
"Select delimiter","Select delimiter"
"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"
"Browse data preview","Browse data preview"
"Split character string","Split character string"
"Split text","Split text"
"Split a text column by a recognised delimiter.","Split a text column by a recognised delimiter."
"Split a character string by a common delimiter","Split a character string by a common 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"

1 en da
49 Column added! Variabel oprettet!
50 Unique values: Unikke værdier:
51 Variable to cut: Variabel, der skal deles:
Number of breaks: Antal niveauer:
52 Close intervals on the right Luk intervaller til højre
53 Include lowest value Inkluderer den laveste værdi
54 Create factor variable Opret kategorisk variabel
254 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. Vælg et navn til den nye variabel, skriv din formel og tryk så på knappen for at gemme variablen, eller annuler for at lukke uden at gemme.
255 Please fill in web address and API token, then press 'Connect'. Udfyld serveradresse og API-nøgle, og tryk så 'Fobind'.
256 Other Other
257 Hour of the day Hour of the day Time på dagen
258 Breaks Breaks Grupper
259 By day of the week By day of the week Efter ugedag
260 By weekday By weekday Efter ugedag
261 By week number and year By week number and year Efter ugenummer og årstal
262 By month and year By month and year Efter måned og årstal
263 By month only By month only Efter måned alene
264 By quarter of the year By quarter of the year Efter kvartal
265 By year By year Efter år
266 Keep only most common Keep only most common Behold kun de hyppigste
267 Number Number Antal
268 Combine below percentage Combine below percentage Kombiner under procentsats
269 Percentage Percentage Procentsats
270 By specified numbers By specified numbers Efter specifikke værdier
271 By quantiles (groups of equal size) By quantiles (groups of equal size) I grupper af samme størrelse
272 By week number By week number Efter ugenummer alene
273 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. 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.
274 Split the variable Split the variable
275 Original data Original data
276 Preview of result Preview of result
277 No character variables with accepted delimiters detected. No character variables with accepted delimiters detected.
278 Variable to split: Variable to split:
279 Text or character to split string by Text or character to split string by
280 Select delimiter Select delimiter
281 Direction: Direction:
282 Split string to multiple columns. Keep number of rows. Split string to multiple columns. Keep number of rows.
283 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
284 Browse data preview Browse data preview
285 Split character string Split character string
286 Split text Split text
287 Split a text column by a recognised delimiter. Split a text column by a recognised delimiter.
288 Split a character string by a common delimiter Split a character string by a common delimiter
289 Apply split Apply split
290 Stacked relative barplot Stacked relative barplot
291 Create relative stacked barplots to show the distribution of categorical levels Create relative stacked barplots to show the distribution of categorical levels
292 Side-by-side barplot Side-by-side barplot
293 Create side-by-side barplot to show the distribution of categorical levels Create side-by-side barplot to show the distribution of categorical levels

View file

@ -18,7 +18,6 @@
"Column added!","Column added!"
"Unique values:","Unique values:"
"Variable to cut:","Variable to cut:"
"Number of breaks:","Number of breaks:"
"Close intervals on the right","Close intervals on the right"
"Include lowest value","Include lowest value"
"Create factor variable","Create factor variable"
@ -272,3 +271,23 @@
"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"

1 en de
18 Column added! Column added!
19 Unique values: Unique values:
20 Variable to cut: Variable to cut:
Number of breaks: Number of breaks:
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
271 Generating the report. Hold on for a moment.. Generating the report. Hold on for a moment..
272 We encountered the following error creating your report: We encountered the following error creating your report:
273 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.
274 Text or character to split string by Text or character to split string by
275 Split the variable Split the variable
276 Variable to split: Variable to split:
277 Direction: Direction:
278 Split string to multiple columns. Keep number of rows. Split string to multiple columns. Keep number of rows.
279 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
280 Split character string Split character string
281 Split text Split text
282 Split a character string by a common delimiter Split a character string by a common delimiter
283 Select delimiter Select delimiter
284 Browse data preview Browse data preview
285 Original data Original data
286 Preview of result Preview of result
287 No character variables with accepted delimiters detected. No character variables with accepted delimiters detected.
288 Split a text column by a recognised delimiter. Split a text column by a recognised delimiter.
289 Apply split Apply split
290 Stacked relative barplot Stacked relative barplot
291 Create relative stacked barplots to show the distribution of categorical levels Create relative stacked barplots to show the distribution of categorical levels
292 Side-by-side barplot Side-by-side barplot
293 Create side-by-side barplot to show the distribution of categorical levels Create side-by-side barplot to show the distribution of categorical levels

View file

@ -0,0 +1,293 @@
"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 variable chosen for analysis","No variable chosen for analysis"
"No missing observations","No missing observations"
"Missing vs non-missing observations in the variable **'{variabler()}'**","Missing vs non-missing observations in the variable **'{variabler()}'**"
"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"
"To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random.","To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random."
"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."
"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}."
"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."
"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."
"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.."
"Select variable to stratify analysis","Select variable to stratify analysis"
"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"
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 variable chosen for analysis No variable chosen for analysis
107 No missing observations No missing observations
108 Missing vs non-missing observations in the variable **'{variabler()}'** Missing vs non-missing observations in the variable **'{variabler()}'**
109 Grouped by {get_label(data,ter)} Grouped by {get_label(data,ter)}
110 Import data from REDCap Import data from REDCap
111 REDCap server REDCap server
112 Web address Web address
113 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/'
114 API token API token
115 The token is a string of 32 numbers and letters. The token is a string of 32 numbers and letters.
116 Connect Connect
117 Please fill in web address and API token, then press 'Connect'. Please fill in web address and API token, then press 'Connect'.
118 Data import parameters Data import parameters
119 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
120 Import Import
121 Click to see data dictionary Click to see data dictionary
122 Connected to server! Connected to server!
123 The {data_rv$info$project_title} project is loaded. The {data_rv$info$project_title} project is loaded.
124 Data dictionary Data dictionary
125 Preview: Preview:
126 Imported data set Imported data set
127 Select fields/variables to import: Select fields/variables to import:
128 Specify the data format Specify the data format
129 Fill missing values? Fill missing values?
130 Requested data was retrieved! Requested data was retrieved!
131 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.
132 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.
133 Click to see the imported data Click to see the imported data
134 Regression table Regression table
135 Regression Regression
136 Specify covariables Specify covariables
137 If none are selected, all are included. If none are selected, all are included.
138 Analyse Analyse
139 Working... Working...
140 Press 'Analyse' to create the regression model and after changing parameters. Press 'Analyse' to create the regression model and after changing parameters.
141 Coefficient plot Coefficient plot
142 Model checks Model checks
143 Coefficients plot Coefficients plot
144 Checks Checks
145 Yes Yes
146 No No
147 Show p-value Show p-value
148 Select outcome variable Select outcome variable
149 Choose regression analysis Choose regression analysis
150 Covariables to format as categorical Covariables to format as categorical
151 Select variable to stratify baseline Select variable to stratify baseline
152 Select models to plot Select models to plot
153 Creating regression models failed with the following error: Creating regression models failed with the following error:
154 Creating a regression table failed with the following error: Creating a regression table failed with the following error:
155 Saving the plot. Hold on for a moment.. Saving the plot. Hold on for a moment..
156 Running model assumptions checks failed with the following error: Running model assumptions checks failed with the following error:
157 Select checks to plot Select checks to plot
158 Multivariable regression model checks Multivariable regression model checks
159 www/intro.html www/intro.html
160 www/intro.md www/intro.md
161 Get started Get started
162 Choose your data Choose your data
163 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.
164 Please be mindfull handling sensitive data Please be mindfull handling sensitive data
165 <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>
166 Quick overview Quick overview
167 Select variables for final import Select variables for final import
168 Exclude incomplete variables: Exclude incomplete variables:
169 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.
170 Manual selection: Manual selection:
171 Let's begin! Let's begin!
172 Prepare Prepare
173 Overview and filter Overview and filter
174 Overview and filtering Overview and filtering
175 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.
176 Visual overview Visual overview
177 Browse observations Browse observations
178 Filter data types Filter data types
179 Filter observations Filter observations
180 Apply filter on observation Apply filter on observation
181 Edit and create data Edit and create data
182 Subset, rename and convert variables Subset, rename and convert variables
183 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.).
184 Please note that data modifications are applied before any filtering. Please note that data modifications are applied before any filtering.
185 Advanced data manipulation Advanced data manipulation
186 Below options allow more advanced varaible manipulations. Below options allow more advanced varaible manipulations.
187 Reorder factor levels Reorder factor levels
188 Reorder the levels of factor/categorical variables. Reorder the levels of factor/categorical variables.
189 New factor New factor
190 Create factor/categorical variable from a continous variable (number/date/time). Create factor/categorical variable from a continous variable (number/date/time).
191 New variable New variable
192 Create a new variable based on an R-expression. Create a new variable based on an R-expression.
193 Compare modified data to original Compare modified data to original
194 Raw print of the original vs the modified data. Raw print of the original vs the modified data.
195 Original data: Original data:
196 Modified data: Modified data:
197 Restore original data Restore original data
198 Reset to original imported dataset. Careful! There is no un-doing. Reset to original imported dataset. Careful! There is no un-doing.
199 Evaluate Evaluate
200 Characteristics Characteristics
201 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.
202 Compare strata? Compare strata?
203 Option to perform statistical comparisons between strata in baseline table. Option to perform statistical comparisons between strata in baseline table.
204 Press 'Evaluate' to create the comparison table. Press 'Evaluate' to create the comparison table.
205 Correlations Correlations
206 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'.
207 Correlation cut-off Correlation cut-off
208 Set the cut-off for considered 'highly correlated'. Set the cut-off for considered 'highly correlated'.
209 Missings Missings
210 To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random. To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random.
211 Visuals Visuals
212 Analysis validation Analysis validation
213 Report Report
214 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.
215 Factor variable to reorder: Factor variable to reorder:
216 Sort by levels Sort by levels
217 Sort by count Sort by count
218 Create a new variable (otherwise replaces the one selected) Create a new variable (otherwise replaces the one selected)
219 Update factor variable Update factor variable
220 Sort count Sort count
221 Levels Levels
222 Count Count
223 Update levels of a factor Update levels of a factor
224 Update & select variables Update & select variables
225 Date format: Date format:
226 Date to use as origin to convert date/datetime: Date to use as origin to convert date/datetime:
227 Apply changes Apply changes
228 No data to display. No data to display.
229 Data successfully updated! Data successfully updated!
230 You removed {p_out} % of observations. You removed {p_out} % of observations.
231 You removed {p_out} % of variables. You removed {p_out} % of variables.
232 There is a total of {p_miss} % missing observations. There is a total of {p_miss} % missing observations.
233 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}.
234 Data includes {n_pairs} pairs of highly correlated variables. Data includes {n_pairs} pairs of highly correlated variables.
235 Class Class
236 Observations Observations
237 File upload File upload
238 REDCap server export REDCap server export
239 Local or sample data Local or sample data
240 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.
241 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.
242 Documentation Documentation
243 Feedback Feedback
244 License: AGPLv3 License: AGPLv3
245 Source Source
246 Settings Settings
247 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).
248 Data classes and missing observations Data classes and missing observations
249 We encountered the following error showing missingness: We encountered the following error showing missingness:
250 Please confirm data reset! Please confirm data reset!
251 Sure you want to reset data? This cannot be undone. Sure you want to reset data? This cannot be undone.
252 Confirm Confirm
253 The filtered data The filtered data
254 Create new factor Create new factor
255 This window is aimed at advanced users and require some *R*-experience! This window is aimed at advanced users and require some *R*-experience!
256 Create new variables Create new variables
257 Select data types to include Select data types to include
258 Uploaded data overview Uploaded data overview
259 We encountered the following error browsing your data: We encountered the following error browsing your data:
260 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.
261 Data import Data import
262 Data import formatting Data import formatting
263 Data modifications Data modifications
264 Variables filter Variables filter
265 Data filter Data filter
266 Data characteristics table Data characteristics table
267 The dataset without text variables The dataset without text variables
268 The data includes {n_col} variables. Please limit to 100. The data includes {n_col} variables. Please limit to 100.
269 Creating the table. Hold on for a moment.. Creating the table. Hold on for a moment..
270 Select variable to stratify analysis Select variable to stratify analysis
271 Generating the report. Hold on for a moment.. Generating the report. Hold on for a moment..
272 We encountered the following error creating your report: We encountered the following error creating your report:
273 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.
274 Text or character to split string by Text or character to split string by
275 Split the variable Split the variable
276 Variable to split: Variable to split:
277 Direction: Direction:
278 Split string to multiple columns. Keep number of rows. Split string to multiple columns. Keep number of rows.
279 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
280 Split character string Split character string
281 Split text Split text
282 Split a character string by a common delimiter Split a character string by a common delimiter
283 Select delimiter Select delimiter
284 Browse data preview Browse data preview
285 Original data Original data
286 Preview of result Preview of result
287 No character variables with accepted delimiters detected. No character variables with accepted delimiters detected.
288 Split a text column by a recognised delimiter. Split a text column by a recognised delimiter.
289 Apply split Apply split
290 Stacked relative barplot Stacked relative barplot
291 Create relative stacked barplots to show the distribution of categorical levels Create relative stacked barplots to show the distribution of categorical levels
292 Side-by-side barplot Side-by-side barplot
293 Create side-by-side barplot to show the distribution of categorical levels Create side-by-side barplot to show the distribution of categorical levels

View file

@ -49,7 +49,6 @@
"Column added!","Column added!"
"Unique values:","Unique values:"
"Variable to cut:","Variable to cut:"
"Number of breaks:","Number of breaks:"
"Close intervals on the right","Close intervals on the right"
"Include lowest value","Include lowest value"
"Create factor variable","Create factor variable"
@ -272,3 +271,23 @@
"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"

1 en sw
49 Column added! Column added!
50 Unique values: Unique values:
51 Variable to cut: Variable to cut:
Number of breaks: Number of breaks:
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
271 By quantiles (groups of equal size) By quantiles (groups of equal size)
272 Please fill in web address and API token, then press 'Connect'. Please fill in web address and API token, then press 'Connect'.
273 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.
274 Text or character to split string by Text or character to split string by
275 Split the variable Split the variable
276 Variable to split: Variable to split:
277 Direction: Direction:
278 Split string to multiple columns. Keep number of rows. Split string to multiple columns. Keep number of rows.
279 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
280 Split character string Split character string
281 Split text Split text
282 Split a character string by a common delimiter Split a character string by a common delimiter
283 Select delimiter Select delimiter
284 Browse data preview Browse data preview
285 Original data Original data
286 Preview of result Preview of result
287 No character variables with accepted delimiters detected. No character variables with accepted delimiters detected.
288 Split a text column by a recognised delimiter. Split a text column by a recognised delimiter.
289 Apply split Apply split
290 Stacked relative barplot Stacked relative barplot
291 Create relative stacked barplots to show the distribution of categorical levels Create relative stacked barplots to show the distribution of categorical levels
292 Side-by-side barplot Side-by-side barplot
293 Create side-by-side barplot to show the distribution of categorical levels Create side-by-side barplot to show the distribution of categorical levels

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