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

1 en da
28 Please note that data modifications are applied before any filtering. Bemærk at alle ændringer i data anvendes inden filtreringen.
29 Advanced data manipulation Avanceret datamanipulation
30 Below options allow more advanced varaible manipulations. Nedenfor er mulighed for avancerede ændringer i data.
Reorder factor levels Arranger niveuer i faktor
Reorder the levels of factor/categorical variables. Arranger rækkefølgen af niveauer i faktorielle/kategoriske variabler.
31 New factor Ny faktor
32 Create factor/categorical variable from a continous variable (number/date/time). Opret kategorisk variabel på baggrund af kontinuert variabel (numerisk/dato/tid).
33 New variable Ny variabel
70 Sort by count Sorter efter antal
71 Create a new variable (otherwise replaces the one selected) Opret en ny variabel (ellers erstattes den oprindelige)
72 Update factor variable Updater faktor-variabel
Sort count Sorter antal
73 Levels Niveauer
74 Count Antal
75 Update levels of a factor Updater niveauerne for en faktor
262 By quantiles (groups of equal size) I grupper af samme størrelse
263 By week number Efter ugenummer alene
264 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.
265 Split the variable Split the variable Opdel variablen
266 Original data Original data Oprindelige data
267 Preview of result Preview of result Forhåndsvisning af resultat
268 No character variables with accepted delimiters detected. No character variables with accepted delimiters detected. Opdel en tegnstreng med en fælles afgrænser
269 Variable to split: Variable to split: Variabel at dele:
270 Text or character to split string by Text or character to split string by Text eller tegn der skal bruges til opdeling
271 Select delimiter Select delimiter Vælg afgrænser
272 Direction: Direction: Retning:
273 Split string to multiple columns. Keep number of rows. Split string to multiple columns. Keep number of rows. Opdel strengen i flere kolonner. Behold antallet af rækker.
274 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 Opdel strengen til flere observationer (rækker) i samme kolonne. Også annonce-id og instanskolonner
275 Browse data preview Browse data preview Forhåndsvisning af resultat
276 Split character string Split character string Opdel tegnstreng
277 Split text Split text Opdel tekst
278 Split a text column by a recognised delimiter. Split a text column by a recognised delimiter. Ingen tegnvariabler med accepterede afgrænsere fundet.
279 Split a character string by a common delimiter Split a character string by a common delimiter Opdel en tekstkolonne med en fælles afgrænser
280 Apply split Apply split Anvend opdeling
281 Stacked relative barplot Stacked relative barplot Stablet relativt søjlediagram
282 Create relative stacked barplots to show the distribution of categorical levels Create relative stacked barplots to show the distribution of categorical levels Opret relative stablede søjlediagrammer for at vise fordelingen af kategoriske niveauer
283 Side-by-side barplot Side-by-side barplot Side om side barplot
284 Create side-by-side barplot to show the distribution of categorical levels Create side-by-side barplot to show the distribution of categorical levels Opret et side-om-side søjlediagram for at vise fordelingen af kategoriske niveauer
285 Select table theme Select table theme Vælg tema
286 Level of detail Level of detail Detaljeniveau
287 Minimal Minimal
288 Extensive Extensive Stor
289 Letters Letters Bogstaver
290 Words Words Ord
291 Shorten to first letters Shorten to first letters Afkort til første bogstaver
292 Shorten to first words Shorten to first words Afkort til de første ord
293 Missings across variables by the variable **'{input$missings_var}'** Missings across variables by the variable **'{input$missings_var}'** Manglende værdier på tværs af variablerne **'{input$missings_var}'**
294 Missing vs non-missing observations in the variable **'{input$missings_var}'** Missing vs non-missing observations in the variable **'{input$missings_var}'** Manglende vs. ikke-manglende observationer i variablen **'{input$missings_var}'**
295 Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random. Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random. Evaluer manglende værdier ved enten at sammenligne manglende værdier på tværs af variabler (valgfrit grupperet efter en kategorisk eller dikotom variabel) eller sammenligne variabler grupperet efter manglende status (mangler eller ej) for en udfaldsvariabel. Hvis der er en signifikant forskel i manglende værdier, kan dette forårsage en bias i dine data, og det bør overvejes omhyggeligt at fortolke dataene og analyserne, da data muligvis ikke mangler tilfældigt.
296 Calculating. Hold tight for a moment.. Calculating. Hold tight for a moment.. Beregner. Hold lige fast et øjeblik..
297 Overview of missing observations Overview of missing observations Oversigt over manglende observationer
298 Analysis method for missingness overview Analysis method for missingness overview Analysemetode for oversigt over manglende indhold
299 Overview of missings across variables Overview of missings across variables Oversigt over mangler på tværs af variabler
300 Overview of difference in variables by missing status in outcome Overview of difference in variables by missing status in outcome Oversigt over forskel i variabler ved manglende status i resultat
301 Select a variable for grouped overview Select a variable for grouped overview Vælg en variabel til grupperet oversigt
302 Select outcome variable for overview Select outcome variable for overview Vælg resultatvariabel for oversigt
303 No outcome measure chosen No outcome measure chosen Ingen resultatmål valgt
304 There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}. There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}. Der er en betydelig forskel i manglende data i {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grupperet efter det valgte resultat/grupperingsvariabel {outcome}.
305 Include group differences Include group differences Inkluder gruppeforskelle
306 Error: Error: Fejl:
307 Download table Download table Download tabel
308 Welcome to FreesearchR Welcome to FreesearchR Velkommen til FreesearchR
309 A free data analysis tool for clinicians, students, and learners A free data analysis tool for clinicians, students, and learners Et gratis dataanalyseværktøj til klinikere, studerende og lærende
310 Core Features Core Features Kernefunktioner
311 Import Data Import Data Importér data
312 Data Management Data Management Datahåndtering
313 Filter, modify, and create new variables. Prepare your data efficiently for analysis. Filter, modify, and create new variables. Prepare your data efficiently for analysis. Filtrer, rediger og opret nye variabler. Forbered dine data effektivt til analyse.
314 Descriptive Statistics Descriptive Statistics Deskriptiv statistik
315 Additional Capabilities Additional Capabilities Yderligere funktioner
316 Data Visualization Data Visualization Datavisualisering
317 Create simple, clean plots for quick insights and overview Create simple, clean plots for quick insights and overview Opret enkle, overskuelige plots for hurtig indsigt og overblik
318 Regression Models Regression Models Regressionsmodeller
319 Build simple regression models for advanced analysis Build simple regression models for advanced analysis Byg simple regressionsmodeller til avanceret analyse
320 Export & Learn Export & Learn Eksportér og lær
321 Download Results Download Results Download resultater
322 Get Modified Data Get Modified Data Få ændrede data
323 Reproducible Code Reproducible Code Reproducerbar kode
324 Full Documentation Full Documentation Fuld dokumentation
325 Share Feedback Share Feedback Del feedback
326 Contact Us Contact Us Kontakt os
327 FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org FreesearchR er tilgængelig på flere sprog. For at få hjælp med oversættelser, kontakt os venligst på info@freesearchr.org
328 Home Home Hjem
329 Start with FreesearchR for basic data evaluation and analysis. Start with FreesearchR for basic data evaluation and analysis. Start med FreesearchR til grundlæggende dataevaluering og -analyse.
330 When you need more advanced tools, you'll be better prepared to use R directly. When you need more advanced tools, you'll be better prepared to use R directly. Når du har brug for mere avancerede værktøjer, vil du være bedre forberedt på at bruge R direkte.
331 (Read more) (Read more) (Læs mere)
332 Run the FreesearchR app locally when working with sensitive data. Run the FreesearchR app locally when working with sensitive data. Kør FreesearchR-appen lokalt, når du arbejder med følsomme data.
333 Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility. Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility. Indlæs data fra regneark, REDCap-servere, eller prøv med eksempeldata. Flere kilder understøttes for maksimal fleksibilitet.
334 Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively. Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively. Evaluer data med beskrivende analyser, undersøg korrelationer og gennemgå manglende observationer effektivt.
335 Export results directly to your text editor Export results directly to your text editor Eksporter resultater direkte til din teksteditor
336 Save your processed datasets for later Save your processed datasets for later Gem dine behandlede datasæt til senere
337 Learn and reproduce results in R Learn and reproduce results in R Lær og reproducer resultater i R
338 When you need more advanced tools, you'll be prepared to use R directly. When you need more advanced tools, you'll be prepared to use R directly. Når du har brug for mere avancerede værktøjer, vil du være forberedt på at bruge R direkte.
339 The app contains a selelct number of features and will guide you through key analyses. Appen indeholder udvalgte funktioner, og guider dig gennem de vigtigste analyser.
340 Sort by Levels Sorter efter niveauer
341 Reorder factor levels Omarranger niveauer
342 Modify factor levels Modify factor levels
343 Reorder or rename the levels of factor/categorical variables. Reorder or rename the levels of factor/categorical variables.

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

341
inst/translations/translation_sv.csv
View file

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

662
inst/translations/translation_sw.csv
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@ -1,341 +1,343 @@
"en","sw"
"Hello","Habari"
"Get started","Tuanze"
"Get started","Tuanze!"
"File upload","Upakiaji wa faili"
"REDCap server export","Uhamishaji wa seva ya REDCap"
"Local or sample data","Taarifa za ndani au za mfano"
"Please be mindfull handling sensitive data","Tafadhali kumbuka kushughulikia data nyeti"
"The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).","Programu ya ***FreesearchR*** huhifadhi data kwa uchanganuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani ya nchi. [Soma zaidi hapa](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine)."
"REDCap server export","Usafirishaji wa seva ya REDCap"
"Local or sample data","Data ya ndani au ya sampuli"
"Please be mindfull handling sensitive data","Tafadhali kuwa mwangalifu kushughulikia data nyeti"
"The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).","Programu ya ***FreesearchR*** huhifadhi data kwa ajili ya uchambuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani. [Soma zaidi hapa](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine)."
"Quick overview","Muhtasari wa haraka"
"Select variables for final import","Chagua vigeu kwa ajili ya uingizaji wa mwisho"
"Exclude incomplete variables:","Usijumuishe vigeu visivyokamilika:"
"Select variables for final import","Chagua vigezo vya kuingiza mwisho"
"Exclude incomplete variables:","Ondoa vigezo visivyokamilika:"
"Manual selection:","Uchaguzi wa mikono:"
"Let's begin!","Tuanze!"
"Analysis validation","Uthibitishaji wa uchambuzi"
"Analysis validation","Uthibitisho wa uchambuzi"
"Report","Ripoti"
"Choose your favourite output file format for further work, and download, when the analyses are done.","Chagua umbizo la faili la towe lako kwa kazi zaidi, na upakue, uchanganuzi utakapofanywa."
"www/intro.html","www/intro_sw.html"
"<p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>","<p>Programu ya <em><strong>FreesearchR</strong></em> huhifadhi data kwa ajili ya uchanganuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani ya nchi. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Soma zaidi hapa</a></p>"
"Overview and filter","Muhtasari na chujio"
"Choose your favourite output file format for further work, and download, when the analyses are done.","Chagua umbizo la faili ya matokeo unayopenda kwa kazi zaidi, na upakue, uchambuzi utakapokamilika."
"www/intro.html","www/utangulizi.html"
"<p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>","<p>Programu ya <em><strong>FreesearchR</strong></em> huhifadhi data kwa ajili ya uchambuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Soma zaidi hapa</a></p>"
"Overview and filter","Muhtasari na kichujio"
"Overview and filtering","Muhtasari na uchujaji"
"Visual overview","Muhtasari wa kuona"
"Filter data types","Chuja aina za data"
"Filter observations","Chuja uchunguzi"
"Apply filter on observation","Tumia kichujio unapotazama"
"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:","Data asili:"
"Modified data:","Data iliyobadilishwa:"
"New column name:","New column name:"
"Group calculation by:","Group calculation by:"
"Enter an expression to define new column:","Enter an expression to define new column:"
"Click on a column name to add it to the expression:","Click on a column name to add it to the expression:"
"Create column","Create column"
"New column name cannot be empty","New column name cannot be empty"
"Create a new column","Create a new column"
"Some operations are not allowed","Some operations are not allowed"
"Column added!","Column added!"
"Unique values:","Unique values:"
"Variable to cut:","Variable to cut:"
"Close intervals on the right","Close intervals on the right"
"Include lowest value","Include lowest value"
"Create factor variable","Create factor variable"
"Fixed breaks:","Fixed breaks:"
"Method:","Method:"
"Convert Numeric to Factor","Convert Numeric to Factor"
"Unique:","Unique:"
"Missing:","Missing:"
"Most Common:","Most Common:"
"Min:","Min:"
"Mean:","Mean:"
"Max:","Max:"
"Decimal separator:","Decimal separator:"
"First five rows are shown below:","First five rows are shown below:"
"Imported data","Imported data"
"Filter observations","Uchunguzi wa vichujio"
"Apply filter on observation","Tumia kichujio wakati wa uchunguzi"
"Edit and create data","Hariri na uunde data"
"Subset, rename and convert variables","Weka sehemu ndogo, badilisha jina na ubadilishe vigezo"
"Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).","Hapa chini, kuna chaguo kadhaa za urekebishaji rahisi wa data kama vile kusasisha vigezo kwa kubadilisha majina, kuunda lebo mpya (kwa majedwali mazuri zaidi katika ripoti) na kubadilisha madarasa ya vigezo (nambari, vipengele/kategoria n.k.)."
"Please note that data modifications are applied before any filtering.","Tafadhali kumbuka kwamba marekebisho ya data hutumika kabla ya kuchuja yoyote."
"Advanced data manipulation","Udhibiti wa data wa hali ya juu"
"Below options allow more advanced varaible manipulations.","Chaguzi zilizo hapa chini huruhusu udanganyifu wa hali ya juu zaidi unaoweza kubadilika."
"New factor","Kipengele kipya"
"Create factor/categorical variable from a continous variable (number/date/time).","Unda kigezo cha kipengele/kitengo kutoka kwa kigezo endelevu (nambari/tarehe/saa)."
"New variable","Kigezo kipya"
"Create a new variable based on an R-expression.","Unda kigezo kipya kulingana na usemi wa R."
"Compare modified data to original","Linganisha data iliyobadilishwa na ya asili"
"Raw print of the original vs the modified data.","Chapisho ghafi la data asili dhidi ya data iliyorekebishwa."
"Original data:","Data asilia:"
"Modified data:","Data iliyorekebishwa:"
"New column name:","Jina jipya la safu wima:"
"Group calculation by:","Hesabu ya kikundi kwa:"
"Enter an expression to define new column:","Ingiza usemi ili kufafanua safu wima mpya:"
"Click on a column name to add it to the expression:","Bofya jina la safu wima ili kuliongeza kwenye usemi:"
"Create column","Unda safu wima"
"New column name cannot be empty","Jina jipya la safu wima haliwezi kuwa tupu"
"Create a new column","Unda safu wima mpya"
"Some operations are not allowed","Baadhi ya shughuli haziruhusiwi"
"Column added!","Safu wima imeongezwa!"
"Unique values:","Thamani za kipekee:"
"Variable to cut:","Inaweza kubadilishwa kwa kukata:"
"Close intervals on the right","Funga vipindi upande wa kulia"
"Include lowest value","Jumuisha thamani ya chini kabisa"
"Create factor variable","Unda kigezo cha vipengele"
"Fixed breaks:","Mapumziko yasiyobadilika:"
"Method:","Mbinu:"
"Convert Numeric to Factor","Badilisha Nambari kuwa Kipengele"
"Unique:","Kipekee:"
"Missing:","Haipo:"
"Most Common:","Ya Kawaida Zaidi:"
"Min:","Kiwango cha chini:"
"Mean:","Wastani:"
"Max:","Kiwango cha juu zaidi:"
"Decimal separator:","Kitenganishi cha desimali:"
"First five rows are shown below:","Safu tano za kwanza zinaonyeshwa hapa chini:"
"Imported data","Data iliyoingizwa"
"www/intro.md","www/intro.md"
"Choose your data","Choose your data"
"Upload a file, get data directly from REDCap or use local or sample data.","Upload a file, get data directly from REDCap or use local or sample data."
"Factor variable to reorder:","Factor variable to reorder:"
"Sort by levels","Sort by levels"
"Sort by count","Sort by count"
"Create a new variable (otherwise replaces the one selected)","Create a new variable (otherwise replaces the one selected)"
"Update factor variable","Update factor variable"
"Sort count","Sort count"
"Levels","Levels"
"Count","Count"
"Update levels of a factor","Update levels of a factor"
"Update & select variables","Update & select variables"
"Date format:","Date format:"
"Date to use as origin to convert date/datetime:","Date to use as origin to convert date/datetime:"
"Apply changes","Apply changes"
"No data to display.","No data to display."
"Data successfully updated!","Data successfully updated!"
"You removed {p_out} % of observations.","You removed {p_out} % of observations."
"You removed {p_out} % of variables.","You removed {p_out} % of variables."
"You can import {file_extensions_text} files","You can import {file_extensions_text} files"
"You can choose between these file types:","You can choose between these file types:"
"Rows to skip before reading data:","Rows to skip before reading data:"
"Missing values character(s):","Missing values character(s):"
"if several use a comma (',') to separate them","if several use a comma (',') to separate them"
"Encoding:","Encoding:"
"Upload a file:","Upload a file:"
"Browse...","Browse..."
"Select sheet to import:","Select sheet to import:"
"No file selected.","No file selected."
"Evaluate","Evaluate"
"Visuals","Visuals"
"Regression","Regression"
"Download","Download"
"{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.","{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases."
"Prepare","Prepare"
"At 0, only complete variables are included; at 100, all variables are included.","At 0, only complete variables are included; at 100, all variables are included."
"The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.","The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent."
"No variables have a correlation measure above the threshold.","No variables have a correlation measure above the threshold."
"and","and"
"from each pair","from each pair"
"Only non-text variables are available for plotting. Go the ""Data"" to reclass data to plot.","Only non-text variables are available for plotting. Go the ""Data"" to reclass data to plot."
"Plot","Plot"
"Adjust settings, then press ""Plot"".","Adjust settings, then press ""Plot""."
"Plot height (mm)","Plot height (mm)"
"Plot width (mm)","Plot width (mm)"
"File format","File format"
"Download plot","Download plot"
"Select variable","Select variable"
"Response variable","Response variable"
"Plot type","Plot type"
"Please select","Please select"
"Additional variables","Additional variables"
"Secondary variable","Secondary variable"
"No variable","No variable"
"Grouping variable","Grouping variable"
"No stratification","No stratification"
"Drawing the plot. Hold tight for a moment..","Drawing the plot. Hold tight for a moment.."
"#Plotting\n","#Plotting\n"
"Stacked horizontal bars","Stacked horizontal bars"
"A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars","A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars"
"Violin plot","Violin plot"
"A modern alternative to the classic boxplot to visualise data distribution","A modern alternative to the classic boxplot to visualise data distribution"
"Sankey plot","Sankey plot"
"A way of visualising change between groups","A way of visualising change between groups"
"Scatter plot","Scatter plot"
"A classic way of showing the association between to variables","A classic way of showing the association between to variables"
"Box plot","Box plot"
"A classic way to plot data distribution by groups","A classic way to plot data distribution by groups"
"Euler diagram","Euler diagram"
"Generate area-proportional Euler diagrams to display set relationships","Generate area-proportional Euler diagrams to display set relationships"
"Documentation","Documentation"
"Data is only stored for analyses and deleted when the app is closed.","Data is only stored for analyses and deleted when the app is closed."
"Feedback","Feedback"
"License: AGPLv3","License: AGPLv3"
"Source","Source"
"Data includes {n_pairs} pairs of highly correlated variables.","Data includes {n_pairs} pairs of highly correlated variables."
"Create plot","Create plot"
"Coefficients plot","Coefficients plot"
"Checks","Checks"
"Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters.","Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters."
"Browse observations","Browse observations"
"Settings","Settings"
"The following error occured on determining correlations:","The following error occured on determining correlations:"
"We encountered the following error creating your report:","We encountered the following error creating your report:"
"No missing observations","No missing observations"
"There is a total of {p_miss} % missing observations.","There is a total of {p_miss} % missing observations."
"Median:","Median:"
"Restore original data","Restore original data"
"Reset to original imported dataset. Careful! There is no un-doing.","Reset to original imported dataset. Careful! There is no un-doing."
"Characteristics","Characteristics"
"Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.","Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list."
"Compare strata?","Compare strata?"
"Correlations","Correlations"
"To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.","To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'."
"Correlation cut-off","Correlation cut-off"
"Set the cut-off for considered 'highly correlated'.","Set the cut-off for considered 'highly correlated'."
"Missings","Missings"
"Class","Class"
"Observations","Observations"
"Data classes and missing observations","Data classes and missing observations"
"Sure you want to reset data? This cannot be undone.","Sure you want to reset data? This cannot be undone."
"Cancel","Cancel"
"Confirm","Confirm"
"The filtered data","The filtered data"
"Create new factor","Create new factor"
"This window is aimed at advanced users and require some *R*-experience!","This window is aimed at advanced users and require some *R*-experience!"
"Create new variables","Create new variables"
"Select data types to include","Select data types to include"
"Uploaded data overview","Uploaded data overview"
"Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.","Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias."
"Specify covariables","Specify covariables"
"If none are selected, all are included.","If none are selected, all are included."
"Analyse","Analyse"
"Working...","Working..."
"Press 'Analyse' to create the regression model and after changing parameters.","Press 'Analyse' to create the regression model and after changing parameters."
"Show p-value","Show p-value"
"Model checks","Model checks"
"Please confirm data reset!","Please confirm data reset!"
"Import data from REDCap","Import data from REDCap"
"REDCap server","REDCap server"
"Web address","Web address"
"Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'","Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'"
"API token","API token"
"The token is a string of 32 numbers and letters.","The token is a string of 32 numbers and letters."
"Connect","Connect"
"Data import parameters","Data import parameters"
"Select fields/variables to import and click the funnel to apply optional filters","Select fields/variables to import and click the funnel to apply optional filters"
"Import","Import"
"Click to see data dictionary","Click to see data dictionary"
"Connected to server!","Connected to server!"
"The {data_rv$info$project_title} project is loaded.","The {data_rv$info$project_title} project is loaded."
"Data dictionary","Data dictionary"
"Preview:","Preview:"
"Imported data set","Imported data set"
"Select fields/variables to import:","Select fields/variables to import:"
"Specify the data format","Specify the data format"
"Fill missing values?","Fill missing values?"
"Requested data was retrieved!","Requested data was retrieved!"
"Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access."
"Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access."
"Click to see the imported data","Click to see the imported data"
"Regression table","Regression table"
"Import a dataset from an environment","Import a dataset from an environment"
"Select a dataset:","Select a dataset:"
"List of datasets...","List of datasets..."
"No data selected!","No data selected!"
"No dataset here...","No dataset here..."
"Use a dataset from your environment or from the environment of a package.","Use a dataset from your environment or from the environment of a package."
"Not a data.frame","Not a data.frame"
"Select source","Select source"
"Select a data source:","Select a data source:"
"Yes","Yes"
"No","No"
"Coefficient plot","Coefficient plot"
"Select outcome variable","Select outcome variable"
"Choose regression analysis","Choose regression analysis"
"Covariables to format as categorical","Covariables to format as categorical"
"Select variable to stratify baseline","Select variable to stratify baseline"
"Select models to plot","Select models to plot"
"Creating regression models failed with the following error:","Creating regression models failed with the following error:"
"Creating a regression table failed with the following error:","Creating a regression table failed with the following error:"
"Saving the plot. Hold on for a moment..","Saving the plot. Hold on for a moment.."
"Running model assumptions checks failed with the following error:","Running model assumptions checks failed with the following error:"
"Select checks to plot","Select checks to plot"
"Multivariable regression model checks","Multivariable regression model checks"
"Grouped by {get_label(data,ter)}","Grouped by {get_label(data,ter)}"
"Option to perform statistical comparisons between strata in baseline table.","Option to perform statistical comparisons between strata in baseline table."
"Press 'Evaluate' to create the comparison table.","Press 'Evaluate' to create the comparison table."
"The data includes {n_col} variables. Please limit to 100.","The data includes {n_col} variables. Please limit to 100."
"Data import","Data import"
"Data import formatting","Data import formatting"
"Data modifications","Data modifications"
"Variables filter","Variables filter"
"Data filter","Data filter"
"Data characteristics table","Data characteristics table"
"The dataset without text variables","The dataset without text variables"
"Creating the table. Hold on for a moment..","Creating the table. Hold on for a moment.."
"Generating the report. Hold on for a moment..","Generating the report. Hold on for a moment.."
"We encountered the following error showing missingness:","We encountered the following error showing missingness:"
"We encountered the following error browsing your data:","We encountered the following error browsing your data:"
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything."
"Other","Other"
"Hour of the day","Hour of the day"
"Breaks","Breaks"
"By day of the week","By day of the week"
"By weekday","By weekday"
"By week number and year","By week number and year"
"By week number","By week number"
"By month and year","By month and year"
"By month only","By month only"
"By quarter of the year","By quarter of the year"
"By year","By year"
"Keep only most common","Keep only most common"
"Number","Number"
"Combine below percentage","Combine below percentage"
"Percentage","Percentage"
"By specified numbers","By specified numbers"
"By quantiles (groups of equal size)","By quantiles (groups of equal size)"
"Please fill in web address and API token, then press 'Connect'.","Please fill in web address and API token, then press 'Connect'."
"There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data."
"Text or character to split string by","Text or character to split string by"
"Split the variable","Split the variable"
"Variable to split:","Variable to split:"
"Direction:","Direction:"
"Split string to multiple columns. Keep number of rows.","Split string to multiple columns. Keep number of rows."
"Split string to multiple observations (rows) in the same column. Also ads id and instance columns","Split string to multiple observations (rows) in the same column. Also ads id and instance columns"
"Split character string","Split character string"
"Split text","Split text"
"Split a character string by a common delimiter","Split a character string by a common delimiter"
"Select delimiter","Select delimiter"
"Browse data preview","Browse data preview"
"Original data","Original data"
"Preview of result","Preview of result"
"No character variables with accepted delimiters detected.","No character variables with accepted delimiters detected."
"Split a text column by a recognised delimiter.","Split a text column by a recognised delimiter."
"Apply split","Apply split"
"Stacked relative barplot","Stacked relative barplot"
"Create relative stacked barplots to show the distribution of categorical levels","Create relative stacked barplots to show the distribution of categorical levels"
"Side-by-side barplot","Side-by-side barplot"
"Create side-by-side barplot to show the distribution of categorical levels","Create side-by-side barplot to show the distribution of categorical levels"
"Select table theme","Select table theme"
"Level of detail","Level of detail"
"Minimal","Minimal"
"Extensive","Extensive"
"Letters","Letters"
"Words","Words"
"Shorten to first letters","Shorten to first letters"
"Shorten to first words","Shorten to first words"
"Missings across variables by the variable **'{input$missings_var}'**","Missings across variables by the variable **'{input$missings_var}'**"
"Missing vs non-missing observations in the variable **'{input$missings_var}'**","Missing vs non-missing observations in the variable **'{input$missings_var}'**"
"Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.","Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random."
"Calculating. Hold tight for a moment..","Calculating. Hold tight for a moment.."
"Overview of missing observations","Overview of missing observations"
"Analysis method for missingness overview","Analysis method for missingness overview"
"Overview of missings across variables","Overview of missings across variables"
"Overview of difference in variables by missing status in outcome","Overview of difference in variables by missing status in outcome"
"Select a variable for grouped overview","Select a variable for grouped overview"
"Select outcome variable for overview","Select outcome variable for overview"
"No outcome measure chosen","No outcome measure chosen"
"There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.","There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}."
"Include group differences","Include group differences"
"Error:","Error:"
"Download table","Download table"
"Welcome to FreesearchR","Welcome to FreesearchR"
"A free data analysis tool for clinicians, students, and learners","A free data analysis tool for clinicians, students, and learners"
"Core Features","Core Features"
"Import Data","Import Data"
"Data Management","Data Management"
"Filter, modify, and create new variables. Prepare your data efficiently for analysis.","Filter, modify, and create new variables. Prepare your data efficiently for analysis."
"Descriptive Statistics","Descriptive Statistics"
"Additional Capabilities","Additional Capabilities"
"Data Visualization","Data Visualization"
"Create simple, clean plots for quick insights and overview","Create simple, clean plots for quick insights and overview"
"Regression Models","Regression Models"
"Build simple regression models for advanced analysis","Build simple regression models for advanced analysis"
"Export & Learn","Export & Learn"
"Download Results","Download Results"
"Get Modified Data","Get Modified Data"
"Reproducible Code","Reproducible Code"
"Full Documentation","Full Documentation"
"Share Feedback","Share Feedback"
"Contact Us","Contact Us"
"FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org","FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org"
"Home","Home"
"Start with FreesearchR for basic data evaluation and analysis.","Start with FreesearchR for basic data evaluation and analysis."
"When you need more advanced tools, you'll be better prepared to use R directly.","When you need more advanced tools, you'll be better prepared to use R directly."
"(Read more)","(Read more)"
"Run the FreesearchR app locally when working with sensitive data.","Run the FreesearchR app locally when working with sensitive data."
"Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.","Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility."
"Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.","Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively."
"Export results directly to your text editor","Export results directly to your text editor"
"Save your processed datasets for later","Save your processed datasets for later"
"Learn and reproduce results in R","Learn and reproduce results in R"
"When you need more advanced tools, you'll be prepared to use R directly.","When you need more advanced tools, you'll be prepared to use R directly."
"Choose your data","Chagua data yako"
"Upload a file, get data directly from REDCap or use local or sample data.","Pakia faili, pata data moja kwa moja kutoka REDCap au tumia data ya ndani au sampuli."
"Factor variable to reorder:","Kigezo cha vipengele ili kupanga upya:"
"Sort by levels","Panga kwa viwango"
"Sort by count","Panga kwa hesabu"
"Create a new variable (otherwise replaces the one selected)","Unda kigezo kipya (vinginevyo kinachukua nafasi ya kile kilichochaguliwa)"
"Update factor variable","Sasisha kigezo cha kipengele"
"Levels","Viwango"
"Count","Hesabu"
"Update levels of a factor","Sasisha viwango vya kipengele"
"Update & select variables","Sasisha na uchague vigezo"
"Date format:","Muundo wa tarehe:"
"Date to use as origin to convert date/datetime:","Tarehe ya kutumia kama asili ya kubadilisha tarehe/tarehe:"
"Apply changes","Tumia mabadiliko"
"No data to display.","Hakuna data ya kuonyesha."
"Data successfully updated!","Data imesasishwa kwa mafanikio!"
"You removed {p_out} % of observations.","Umeondoa {p_out} % ya uchunguzi."
"You removed {p_out} % of variables.","Umeondoa {p_out} % ya vigezo."
"You can import {file_extensions_text} files","Unaweza kuingiza faili za {file_extensions_text}"
"You can choose between these file types:","Unaweza kuchagua kati ya aina hizi za faili:"
"Rows to skip before reading data:","Safu za kuruka kabla ya kusoma data:"
"Missing values character(s):","Herufi za thamani zinazokosekana:"
"if several use a comma (',') to separate them","ikiwa kadhaa hutumia koma (',') kuwatenganisha"
"Encoding:","Usimbaji:"
"Upload a file:","Pakia faili:"
"Browse...","Vinjari..."
"Select sheet to import:","Chagua laha ya kuingiza:"
"No file selected.","Hakuna faili iliyochaguliwa."
"Evaluate","Tathmini"
"Visuals","Picha"
"Regression","Urejeshaji"
"Download","Pakua"
"{data_text} has {n} observations and {n_var} variables, with {n_complete} ({p_complete} %) complete cases.","{data_text} ina uchunguzi wa {n} na vigezo vya {n_var}, pamoja na visa kamili vya {n_complete} ({p_complete}%)."
"Prepare","Tayarisha"
"At 0, only complete variables are included; at 100, all variables are included.","Katika 0, ni vigezo kamili pekee vilivyojumuishwa; katika 100, vigezo vyote vimejumuishwa."
"The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.","Jozi zifuatazo za vigeu zina uhusiano wa hali ya juu: {sentence_paste(.x,and_str)}.\nFikiria kutenga moja {zaidi} kutoka kwenye seti ya data ili kuhakikisha vigeu vinajitegemea."
"No variables have a correlation measure above the threshold.","Hakuna vigezo vyenye kipimo cha uhusiano kilicho juu ya kizingiti."
"and","na"
"from each pair","kutoka kwa kila jozi"
"Only non-text variables are available for plotting. Go the ""Data"" to reclass data to plot.","Vigezo visivyo vya maandishi pekee ndivyo vinavyopatikana kwa ajili ya kupanga. Nenda kwenye ""Data"" ili kupanga upya data ili kupanga."
"Plot","Kipande cha habari"
"Adjust settings, then press ""Plot"".","Rekebisha mipangilio, kisha bonyeza ""Plot""."
"Plot height (mm)","Urefu wa kiwanja (mm)"
"Plot width (mm)","Upana wa kiwanja (mm)"
"File format","Umbizo la faili"
"Download plot","Pakua njama"
"Select variable","Chagua kigezo"
"Response variable","Kigezo cha majibu"
"Plot type","Aina ya kiwanja"
"Please select","Tafadhali chagua"
"Additional variables","Vigezo vya ziada"
"Secondary variable","Kigezo cha pili"
"No variable","Hakuna kigezo"
"Grouping variable","Kigezo cha kuweka katika makundi"
"No stratification","Hakuna matabaka"
"Drawing the plot. Hold tight for a moment..","Kuchora njama. Shikilia kwa muda.."
"#Plotting\n","#Upangaji\n"
"Stacked horizontal bars","Pau za mlalo zilizopangwa kwa mpangilio"
"A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars","Njia ya kitamaduni ya kuibua usambazaji wa mizani ya kawaida kama vile Mizani ya Nafasi iliyorekebishwa na inayojulikana kama baa za Grotta"
"Violin plot","Hadithi ya violin"
"A modern alternative to the classic boxplot to visualise data distribution","Njia mbadala ya kisasa ya mpangilio wa kisanduku wa kawaida ili kuibua usambazaji wa data"
"Sankey plot","Njama ya Sankey"
"A way of visualising change between groups","Njia ya kuibua mabadiliko kati ya vikundi"
"Scatter plot","Njama ya kutawanya"
"A classic way of showing the association between to variables","Njia ya kawaida ya kuonyesha uhusiano kati ya vigezo"
"Box plot","Kipande cha sanduku"
"A classic way to plot data distribution by groups","Njia ya kawaida ya kupanga usambazaji wa data kwa vikundi"
"Euler diagram","Mchoro wa Euler"
"Generate area-proportional Euler diagrams to display set relationships","Tengeneza michoro ya Euler inayolingana na eneo ili kuonyesha uhusiano uliowekwa"
"Documentation","Nyaraka"
"Data is only stored for analyses and deleted when the app is closed.","Data huhifadhiwa kwa ajili ya uchambuzi na kufutwa tu wakati programu imefungwa."
"Feedback","Maoni"
"License: AGPLv3","Leseni: AGPLv3"
"Source","Chanzo"
"Data includes {n_pairs} pairs of highly correlated variables.","Data inajumuisha jozi {n_pairs} za vigeu vinavyohusiana sana."
"Create plot","Unda njama"
"Coefficients plot","Mchoro wa viambato"
"Checks","Hundi"
"Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse observations and apply different data filters.","Hapa chini kuna jedwali la muhtasari kwa ajili ya ufahamu wa haraka, na upande wa kulia unaweza kuibua madarasa ya data, kuvinjari uchunguzi na kutumia vichujio tofauti vya data."
"Browse observations","Vinjari uchunguzi"
"Settings","Mipangilio"
"The following error occured on determining correlations:","Hitilafu ifuatayo ilitokea katika kubaini uhusiano:"
"We encountered the following error creating your report:","Tulikutana na hitilafu ifuatayo katika kuunda ripoti yako:"
"No missing observations","Hakuna uchunguzi unaokosekana"
"There is a total of {p_miss} % missing observations.","Kuna jumla ya uchunguzi wa {p_miss}% unaokosekana."
"Median:","Wastani:"
"Restore original data","Rejesha data asili"
"Reset to original imported dataset. Careful! There is no un-doing.","Rudisha kwenye seti ya data asili iliyoingizwa. Kuwa mwangalifu! Hakuna kutengua."
"Characteristics","Sifa"
"Only factor/categorical variables are available for stratification. Go back to the 'Prepare' tab to reclass a variable if it's not on the list.","Vigezo vya vipengele/kategoria pekee ndivyo vinavyopatikana kwa ajili ya uainishaji wa tabaka. Rudi kwenye kichupo cha 'Tayarisha' ili kupanga upya kigezo ikiwa hakipo kwenye orodha."
"Compare strata?","Linganisha tabaka?"
"Correlations","Uhusiano"
"To avoid evaluating the correlation of the outcome variable, this can be excluded from the plot or select 'none'.","Ili kuepuka kutathmini uhusiano wa kigezo cha matokeo, hii inaweza kutengwa kwenye njama au kuchagua 'hakuna'."
"Correlation cut-off","Kikomo cha uhusiano"
"Set the cut-off for considered 'highly correlated'.","Weka kikomo cha 'kinachohusiana sana'."
"Missings","Hazipo"
"Class","Darasa"
"Observations","Uchunguzi"
"Data classes and missing observations","Madarasa ya data na uchunguzi unaokosekana"
"Sure you want to reset data? This cannot be undone.","Una uhakika unataka kuweka upya data? Hii haiwezi kutenduliwa."
"Cancel","Ghairi"
"Confirm","Thibitisha"
"The filtered data","Data iliyochujwa"
"Create new factor","Unda kipengele kipya"
"This window is aimed at advanced users and require some *R*-experience!","Dirisha hili linalenga watumiaji wa hali ya juu na linahitaji uzoefu wa *R*!"
"Create new variables","Unda vigezo vipya"
"Select data types to include","Chagua aina za data za kujumuisha"
"Uploaded data overview","Muhtasari wa data iliyopakiwa"
"Here is an overview of how your data is interpreted, and where data is missing. Use this information to consider if data is missing at random or if some observations are missing systematically wich may be caused by an observation bias.","Hapa kuna muhtasari wa jinsi data yako inavyotafsiriwa, na mahali ambapo data inakosekana. Tumia taarifa hii kuzingatia ikiwa data inakosekana bila mpangilio au ikiwa baadhi ya uchunguzi unakosekana kimfumo ambao unaweza kusababishwa na upendeleo wa uchunguzi."
"Specify covariables","Bainisha vigeu vinavyoweza kuunganishwa"
"If none are selected, all are included.","Ikiwa hakuna aliyechaguliwa, wote wamejumuishwa."
"Analyse","Changanua"
"Working...","Inafanya kazi..."
"Press 'Analyse' to create the regression model and after changing parameters.","Bonyeza 'Changanua' ili kuunda modeli ya urejeshaji na baada ya kubadilisha vigezo."
"Show p-value","Onyesha thamani ya p"
"Model checks","Ukaguzi wa modeli"
"Please confirm data reset!","Tafadhali thibitisha urejeshaji wa data!"
"Import data from REDCap","Ingiza data kutoka REDCap"
"REDCap server","Seva ya REDCap"
"Web address","Anwani ya wavuti"
"Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'","Muundo unapaswa kuwa 'https://redcap.your.institution/' au 'https://your.institution/redcap/'"
"API token","Tokeni ya API"
"The token is a string of 32 numbers and letters.","Tokeni ni mfuatano wa nambari na herufi 32."
"Connect","Unganisha"
"Data import parameters","Vigezo vya kuingiza data"
"Select fields/variables to import and click the funnel to apply optional filters","Chagua sehemu/vigezo vya kuingiza na ubofye faneli ili kutumia vichujio vya hiari"
"Import","Ingiza"
"Click to see data dictionary","Bofya ili kuona kamusi ya data"
"Connected to server!","Imeunganishwa na seva!"
"The {data_rv$info$project_title} project is loaded.","Mradi wa {data_rv$info$project_title} umepakiwa."
"Data dictionary","Kamusi ya data"
"Preview:","Hakikisho:"
"Imported data set","Seti ya data iliyoingizwa"
"Select fields/variables to import:","Chagua sehemu/vigezo vya kuingiza:"
"Specify the data format","Bainisha umbizo la data"
"Fill missing values?","Jaza thamani zinazokosekana?"
"Requested data was retrieved!","Data iliyoombwa ilipatikana!"
"Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data imerejeshwa, lakini inaonekana ni kitambulisho pekee kilichorejeshwa kutoka kwa seva. Tafadhali wasiliana na msimamizi wako wa REDCap kama una ruhusa zinazohitajika kwa ufikiaji wa data."
"Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.","Data imerejeshwa, lakini inaonekana kama si sehemu zote zilizoombwa zilizorejeshwa kutoka kwa seva. Tafadhali wasiliana na msimamizi wako wa REDCap kama una ruhusa zinazohitajika kwa ufikiaji wa data."
"Click to see the imported data","Bofya ili kuona data iliyoingizwa"
"Regression table","Jedwali la urejeshaji"
"Import a dataset from an environment","Ingiza seti ya data kutoka kwa mazingira"
"Select a dataset:","Chagua seti ya data:"
"List of datasets...","Orodha ya seti za data..."
"No data selected!","Hakuna data iliyochaguliwa!"
"No dataset here...","Hakuna seti ya data hapa..."
"Use a dataset from your environment or from the environment of a package.","Tumia seti ya data kutoka kwa mazingira yako au kutoka kwa mazingira ya kifurushi."
"Not a data.frame","Sio data.frame"
"Select source","Chagua chanzo"
"Select a data source:","Chagua chanzo cha data:"
"Yes","Ndiyo"
"No","Hapana"
"Coefficient plot","Mchoro wa mgawo"
"Select outcome variable","Chagua kigezo cha matokeo"
"Choose regression analysis","Chagua uchanganuzi wa marejeleo"
"Covariables to format as categorical","Vigezo vinavyoweza kubadilishwa ili viundwe kama vya kategoria"
"Select variable to stratify baseline","Chagua kigezo ili kuweka tabaka la msingi"
"Select models to plot","Chagua mifano ya kuchora"
"Creating regression models failed with the following error:","Kuunda mifumo ya urejeshaji kumeshindwa kutokana na hitilafu ifuatayo:"
"Creating a regression table failed with the following error:","Kuunda jedwali la urejelezaji kulishindwa kutokana na hitilafu ifuatayo:"
"Saving the plot. Hold on for a moment..","Kuhifadhi njama. Subiri kwa muda.."
"Running model assumptions checks failed with the following error:","Kuendesha ukaguzi wa mawazo ya modeli kulishindwa na hitilafu ifuatayo:"
"Select checks to plot","Chagua ukaguzi wa kupanga"
"Multivariable regression model checks","Ukaguzi wa modeli ya urejeshaji unaoweza kubadilika-badilika"
"Grouped by {get_label(data,ter)}","Imepangwa kwa makundi kulingana na {get_label(data,ter)}"
"Option to perform statistical comparisons between strata in baseline table.","Chaguo la kufanya ulinganisho wa takwimu kati ya tabaka katika jedwali la msingi."
"Press 'Evaluate' to create the comparison table.","Bonyeza 'Tathmini' ili kuunda jedwali la kulinganisha."
"The data includes {n_col} variables. Please limit to 100.","Data inajumuisha vigezo vya {n_col}. Tafadhali punguza hadi 100."
"Data import","Uingizaji wa data"
"Data import formatting","Uumbizaji wa kuingiza data"
"Data modifications","Marekebisho ya data"
"Variables filter","Kichujio cha vigeugeu"
"Data filter","Kichujio cha data"
"Data characteristics table","Jedwali la sifa za data"
"The dataset without text variables","Seti ya data bila vigeu vya maandishi"
"Creating the table. Hold on for a moment..","Kutengeneza meza. Subiri kwa muda.."
"Generating the report. Hold on for a moment..","Inazalisha ripoti. Subiri kidogo.."
"We encountered the following error showing missingness:","Tulikutana na hitilafu ifuatayo inayoonyesha ukosefu:"
"We encountered the following error browsing your data:","Tulipata hitilafu ifuatayo wakati wa kuvinjari data yako:"
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Chagua jina la safu wima itakayoundwa au kurekebishwa, kisha ingiza usemi kabla ya kubofya kitufe kilicho hapa chini ili kuunda kigezo, au ghairi ili kutoka bila kuhifadhi chochote."
"Other","Nyingine"
"Hour of the day","Saa ya siku"
"Breaks","Mapumziko"
"By day of the week","Kwa siku ya wiki"
"By weekday","Kufikia siku ya wiki"
"By week number and year","Kwa idadi ya wiki na mwaka"
"By week number","Kwa nambari ya wiki"
"By month and year","Kwa mwezi na mwaka"
"By month only","Kwa mwezi pekee"
"By quarter of the year","Kufikia robo ya mwaka"
"By year","Kwa mwaka"
"Keep only most common","Weka pekee ya kawaida"
"Number","Nambari"
"Combine below percentage","Changanya chini ya asilimia"
"Percentage","Asilimia"
"By specified numbers","Kwa nambari zilizoainishwa"
"By quantiles (groups of equal size)","Kwa quantiles (vikundi vya ukubwa sawa)"
"Please fill in web address and API token, then press 'Connect'.","Tafadhali jaza anwani ya wavuti na tokeni ya API, kisha bonyeza 'Unganisha'."
"There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","Kuna chaguo za hali ya juu zaidi za kurekebisha vigezo vya vipengele/kategoria pamoja na kuunda kipengele kipya kutoka kwa kigezo kilichopo au vigezo vipya vyenye msimbo wa R. Chini unaweza kurejesha data asili."
"Text or character to split string by","Maandishi au herufi ya kugawanya mfuatano kwa"
"Split the variable","Gawanya kigezo"
"Variable to split:","Kinachoweza kubadilika hadi kugawanyika:"
"Direction:","Mwelekeo:"
"Split string to multiple columns. Keep number of rows.","Gawanya mfuatano katika safu wima nyingi. Weka idadi ya safu wima."
"Split string to multiple observations (rows) in the same column. Also ads id and instance columns","Gawanya mfuatano katika uchunguzi mwingi (safu) katika safu wima moja. Pia vitambulisho vya matangazo na safu wima za mfano"
"Split character string","Gawanya mfuatano wa herufi"
"Split text","Gawanya maandishi"
"Split a character string by a common delimiter","Gawanya mfuatano wa herufi kwa kitenganishi cha kawaida"
"Select delimiter","Chagua kidhibiti"
"Browse data preview","Vinjari hakikisho la data"
"Original data","Data asili"
"Preview of result","Hakikisho la matokeo"
"No character variables with accepted delimiters detected.","Hakuna vigezo vya herufi vilivyo na vidhibiti vinavyokubalika vilivyogunduliwa."
"Split a text column by a recognised delimiter.","Gawanya safu wima ya maandishi kwa kitenga kinachotambulika."
"Apply split","Tumia mgawanyiko"
"Stacked relative barplot","Kipande cha baruni kilichopangwa kwa mirundiko"
"Create relative stacked barplots to show the distribution of categorical levels","Unda viwanja vya baruni vilivyopangwa ili kuonyesha usambazaji wa viwango vya kategoria"
"Side-by-side barplot","Kipande cha baruni cha kando kwa kando"
"Create side-by-side barplot to show the distribution of categorical levels","Unda mpangilio wa barufa kando ili kuonyesha usambazaji wa viwango vya kategoria"
"Select table theme","Chagua mandhari ya jedwali"
"Level of detail","Kiwango cha maelezo"
"Minimal","Kidogo"
"Extensive","Kina"
"Letters","Barua"
"Words","Maneno"
"Shorten to first letters","Fupisha herufi za kwanza"
"Shorten to first words","Fupisha maneno ya kwanza"
"Missings across variables by the variable **'{input$missings_var}'**","Hazipo katika vigezo kwa kigezo **'{input$missings_var}'**"
"Missing vs non-missing observations in the variable **'{input$missings_var}'**","Uchunguzi unaokosekana dhidi ya usiokosekana katika kigezo **'{input$missings_var}'**"
"Evaluate missingness by either comparing missing values across variables (optionally grouped by af categorical or dichotomous variable) or compare variables grouped by the missing status (missing or not) of an outcome variable. If there is a significant difference i the missingness, this may cause a bias in you data and should be considered carefully interpreting the data and analyses as data may not be missing at random.","Tathmini upungufu kwa kulinganisha thamani zinazokosekana katika vigezo (hiari zilizopangwa kwa mujibu wa kigezo cha kategoria au cha pande mbili) au linganisha vigezo vilivyopangwa kwa mujibu wa hali inayokosekana (inayokosekana au isiyokosekana) ya kigezo cha matokeo. Ikiwa kuna tofauti kubwa katika upungufu, hii inaweza kusababisha upendeleo katika data yako na inapaswa kuzingatiwa kwa uangalifu kutafsiri data na uchambuzi kwani data inaweza isikosekane bila mpangilio."
"Calculating. Hold tight for a moment..","Kuhesabu. Shikilia kwa muda.."
"Overview of missing observations","Muhtasari wa uchunguzi uliokosekana"
"Analysis method for missingness overview","Mbinu ya uchambuzi wa muhtasari wa kukosekana"
"Overview of missings across variables","Muhtasari wa mambo yanayokosekana katika vigezo"
"Overview of difference in variables by missing status in outcome","Muhtasari wa tofauti katika vigezo kwa kukosa hali katika matokeo"
"Select a variable for grouped overview","Chagua kigezo cha muhtasari wa kikundi"
"Select outcome variable for overview","Chagua kigezo cha matokeo kwa muhtasari"
"No outcome measure chosen","Hakuna kipimo cha matokeo kilichochaguliwa"
"There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.","Kuna tofauti kubwa katika ukosefu wa data katika {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} zilizopangwa kwa mujibu wa kigezo kilichochaguliwa cha matokeo/upangaji {outcome}."
"Include group differences","Jumuisha tofauti za vikundi"
"Error:","Hitilafu:"
"Download table","Pakua jedwali"
"Welcome to FreesearchR","Karibu kwenye FreesearchR"
"A free data analysis tool for clinicians, students, and learners","Zana ya uchambuzi wa data bila malipo kwa madaktari, wanafunzi, na wanafunzi"
"Core Features","Vipengele vya Msingi"
"Import Data","Ingiza Data"
"Data Management","Usimamizi wa Data"
"Filter, modify, and create new variables. Prepare your data efficiently for analysis.","Chuja, rekebisha, na uunde vigeu vipya. Tayarisha data yako kwa ufanisi kwa ajili ya uchambuzi."
"Descriptive Statistics","Takwimu za Maelezo"
"Additional Capabilities","Uwezo wa Ziada"
"Data Visualization","Uonyeshaji wa Data"
"Create simple, clean plots for quick insights and overview","Unda michoro rahisi na safi kwa ajili ya maarifa ya haraka na muhtasari"
"Regression Models","Mifumo ya Urejeshaji"
"Build simple regression models for advanced analysis","Jenga mifumo rahisi ya urejelezaji kwa ajili ya uchambuzi wa hali ya juu"
"Export & Learn","Hamisha na Ujifunze"
"Download Results","Pakua Matokeo"
"Get Modified Data","Pata Data Iliyorekebishwa"
"Reproducible Code","Nambari Inayoweza Kurudiwa"
"Full Documentation","Nyaraka Kamili"
"Share Feedback","Shiriki Maoni"
"Contact Us","Wasiliana Nasi"
"FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org","FreesearchR inapatikana katika lugha nyingi. Ili kukusaidia na tafsiri, tafadhali wasiliana nasi kwa info@freesearchr.org."
"Home","Nyumbani"
"Start with FreesearchR for basic data evaluation and analysis.","Anza na FreesearchR kwa tathmini na uchambuzi wa data ya msingi."
"When you need more advanced tools, you'll be better prepared to use R directly.","Unapohitaji zana za hali ya juu zaidi, utakuwa tayari zaidi kutumia R moja kwa moja."
"(Read more)","(Soma zaidi)"
"Run the FreesearchR app locally when working with sensitive data.","Endesha programu ya FreesearchR ndani ya eneo lako unapofanya kazi na data nyeti."
"Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.","Pakia data kutoka kwa lahajedwali, seva za REDCap, au jaribu na data ya sampuli. Vyanzo vingi vinaungwa mkono kwa unyumbufu wa hali ya juu."
"Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.","Tathmini data kwa kutumia uchambuzi wa maelezo, kagua uhusiano, na uhakiki uchunguzi unaokosekana kwa ufanisi."
"Export results directly to your text editor","Hamisha matokeo moja kwa moja kwenye kihariri chako cha maandishi"
"Save your processed datasets for later","Hifadhi seti zako za data zilizosindikwa kwa ajili ya baadaye"
"Learn and reproduce results in R","Jifunze na uzalishe matokeo katika R"
"When you need more advanced tools, you'll be prepared to use R directly.","Unapohitaji zana za hali ya juu zaidi, utakuwa tayari kutumia R moja kwa moja."
"The app contains a selelct number of features and will guide you through key analyses.","The app contains a selelct number of features and will guide you through key analyses."
"Sort by Levels","Sort by Levels"
"Reorder factor levels","Reorder factor levels"
"Modify factor levels","Modify factor levels"
"Reorder or rename the levels of factor/categorical variables.","Reorder or rename the levels of factor/categorical variables."

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