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new translations for DA and SW

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app_docker/translations/translation_da.csv
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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.