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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." "Please note that data modifications are applied before any filtering.","Bemærk at alle ændringer i data anvendes inden filtreringen."
"Advanced data manipulation","Avanceret datamanipulation" "Advanced data manipulation","Avanceret datamanipulation"
"Below options allow more advanced varaible manipulations.","Nedenfor er mulighed for avancerede ændringer i data." "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" "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)." "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" "New variable","Ny variabel"
@ -72,7 +70,6 @@
"Sort by count","Sorter efter antal" "Sort by count","Sorter efter antal"
"Create a new variable (otherwise replaces the one selected)","Opret en ny variabel (ellers erstattes den oprindelige)" "Create a new variable (otherwise replaces the one selected)","Opret en ny variabel (ellers erstattes den oprindelige)"
"Update factor variable","Updater faktor-variabel" "Update factor variable","Updater faktor-variabel"
"Sort count","Sorter antal"
"Levels","Niveauer" "Levels","Niveauer"
"Count","Antal" "Count","Antal"
"Update levels of a factor","Updater niveauerne for en faktor" "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 quantiles (groups of equal size)","I grupper af samme størrelse"
"By week number","Efter ugenummer alene" "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." "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" "Split the variable","Opdel variablen"
"Original data","Original data" "Original data","Oprindelige data"
"Preview of result","Preview of result" "Preview of result","Forhåndsvisning af resultat"
"No character variables with accepted delimiters detected.","No character variables with accepted delimiters detected." "No character variables with accepted delimiters detected.","Opdel en tegnstreng med en fælles afgrænser"
"Variable to split:","Variable to split:" "Variable to split:","Variabel at dele:"
"Text or character to split string by","Text or character to split string by" "Text or character to split string by","Text eller tegn der skal bruges til opdeling"
"Select delimiter","Select delimiter" "Select delimiter","Vælg afgrænser"
"Direction:","Direction:" "Direction:","Retning:"
"Split string to multiple columns. Keep number of rows.","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."
"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 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","Browse data preview" "Browse data preview","Forhåndsvisning af resultat"
"Split character string","Split character string" "Split character string","Opdel tegnstreng"
"Split text","Split text" "Split text","Opdel tekst"
"Split a text column by a recognised delimiter.","Split a text column by a recognised delimiter." "Split a text column by a recognised delimiter.","Ingen tegnvariabler med accepterede afgrænsere fundet."
"Split a character string by a common delimiter","Split a character string by a common delimiter" "Split a character string by a common delimiter","Opdel en tekstkolonne med en fælles afgrænser"
"Apply split","Apply split" "Apply split","Anvend opdeling"
"Stacked relative barplot","Stacked relative barplot" "Stacked relative barplot","Stablet relativt søjlediagram"
"Create relative stacked barplots to show the distribution of categorical levels","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"
"Side-by-side barplot","Side-by-side barplot" "Side-by-side barplot","Side om 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" "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","Select table theme" "Select table theme","Vælg tema"
"Level of detail","Level of detail" "Level of detail","Detaljeniveau"
"Minimal","Minimal" "Minimal","Minimal"
"Extensive","Extensive" "Extensive","Stor"
"Letters","Letters" "Letters","Bogstaver"
"Words","Words" "Words","Ord"
"Shorten to first letters","Shorten to first letters" "Shorten to first letters","Afkort til første bogstaver"
"Shorten to first words","Shorten to first words" "Shorten to first words","Afkort til de første ord"
"Missings across variables by the variable **'{input$missings_var}'**","Missings across variables by the variable **'{input$missings_var}'**" "Missings across variables by the variable **'{input$missings_var}'**","Manglende værdier på tværs af variablerne **'{input$missings_var}'**"
"Missing vs non-missing observations in 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$missings_var}'**","Manglende vs. ikke-manglende observationer i variablen **'{input$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.","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."
"Calculating. Hold tight for a moment..","Calculating. Hold tight for a moment.." "Calculating. Hold tight for a moment..","Beregner. Hold lige fast et øjeblik.."
"Overview of missing observations","Overview of missing observations" "Overview of missing observations","Oversigt over manglende observationer"
"Analysis method for missingness overview","Analysis method for missingness overview" "Analysis method for missingness overview","Analysemetode for oversigt over manglende indhold"
"Overview of missings across variables","Overview of missings across variables" "Overview of missings across variables","Oversigt over mangler på tværs af variabler"
"Overview of difference in variables by missing status in outcome","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"
"Select a variable for grouped overview","Select a variable for grouped overview" "Select a variable for grouped overview","Vælg en variabel til grupperet oversigt"
"Select outcome variable for overview","Select outcome variable for overview" "Select outcome variable for overview","Vælg resultatvariabel for oversigt"
"No outcome measure chosen","No outcome measure chosen" "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}.","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}."
"Include group differences","Include group differences" "Include group differences","Inkluder gruppeforskelle"
"Error:","Error:" "Error:","Fejl:"
"Download table","Download table" "Download table","Download tabel"
"Welcome to FreesearchR","Welcome to FreesearchR" "Welcome to FreesearchR","Velkommen til FreesearchR"
"A free data analysis tool for clinicians, students, and learners","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"
"Core Features","Core Features" "Core Features","Kernefunktioner"
"Import Data","Import Data" "Import Data","Importér data"
"Data Management","Data Management" "Data Management","Datahåndtering"
"Filter, modify, and create new variables. Prepare your data efficiently for analysis.","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."
"Descriptive Statistics","Descriptive Statistics" "Descriptive Statistics","Deskriptiv statistik"
"Additional Capabilities","Additional Capabilities" "Additional Capabilities","Yderligere funktioner"
"Data Visualization","Data Visualization" "Data Visualization","Datavisualisering"
"Create simple, clean plots for quick insights and overview","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"
"Regression Models","Regression Models" "Regression Models","Regressionsmodeller"
"Build simple regression models for advanced analysis","Build simple regression models for advanced analysis" "Build simple regression models for advanced analysis","Byg simple regressionsmodeller til avanceret analyse"
"Export & Learn","Export & Learn" "Export & Learn","Eksportér og lær"
"Download Results","Download Results" "Download Results","Download resultater"
"Get Modified Data","Get Modified Data" "Get Modified Data","Få ændrede data"
"Reproducible Code","Reproducible Code" "Reproducible Code","Reproducerbar kode"
"Full Documentation","Full Documentation" "Full Documentation","Fuld dokumentation"
"Share Feedback","Share Feedback" "Share Feedback","Del feedback"
"Contact Us","Contact Us" "Contact Us","Kontakt os"
"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 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","Home" "Home","Hjem"
"Start with FreesearchR for basic data evaluation and analysis.","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."
"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." "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)","(Read more)" "(Read more)","(Læs mere)"
"Run the FreesearchR app locally when working with sensitive data.","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."
"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." "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.","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."
"Export results directly to your text editor","Export results directly to your text editor" "Export results directly to your text editor","Eksporter resultater direkte til din teksteditor"
"Save your processed datasets for later","Save your processed datasets for later" "Save your processed datasets for later","Gem dine behandlede datasæt til senere"
"Learn and reproduce results in R","Learn and reproduce results in R" "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.","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."
"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.

662
app_docker/translations/translation_sw.csv
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@ -1,341 +1,343 @@
"en","sw" "en","sw"
"Hello","Habari" "Hello","Habari"
"Get started","Tuanze" "Get started","Tuanze!"
"File upload","Upakiaji wa faili" "File upload","Upakiaji wa faili"
"REDCap server export","Uhamishaji wa seva ya REDCap" "REDCap server export","Usafirishaji wa seva ya REDCap"
"Local or sample data","Taarifa za ndani au za mfano" "Local or sample data","Data ya ndani au ya sampuli"
"Please be mindfull handling sensitive data","Tafadhali kumbuka kushughulikia data nyeti" "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 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)." "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" "Quick overview","Muhtasari wa haraka"
"Select variables for final import","Chagua vigeu kwa ajili ya uingizaji wa mwisho" "Select variables for final import","Chagua vigezo vya kuingiza mwisho"
"Exclude incomplete variables:","Usijumuishe vigeu visivyokamilika:" "Exclude incomplete variables:","Ondoa vigezo visivyokamilika:"
"Manual selection:","Uchaguzi wa mikono:" "Manual selection:","Uchaguzi wa mikono:"
"Let's begin!","Tuanze!" "Let's begin!","Tuanze!"
"Analysis validation","Uthibitishaji wa uchambuzi" "Analysis validation","Uthibitisho wa uchambuzi"
"Report","Ripoti" "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." "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/intro_sw.html" "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 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>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 chujio" "Overview and filter","Muhtasari na kichujio"
"Overview and filtering","Muhtasari na uchujaji" "Overview and filtering","Muhtasari na uchujaji"
"Visual overview","Muhtasari wa kuona" "Visual overview","Muhtasari wa kuona"
"Filter data types","Chuja aina za data" "Filter data types","Chuja aina za data"
"Filter observations","Chuja uchunguzi" "Filter observations","Uchunguzi wa vichujio"
"Apply filter on observation","Tumia kichujio unapotazama" "Apply filter on observation","Tumia kichujio wakati wa uchunguzi"
"Edit and create data","Edit and create data" "Edit and create data","Hariri na uunde data"
"Subset, rename and convert variables","Subset, rename and convert variables" "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.).","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.)."
"Please note that data modifications are applied before any filtering.","Please note that data modifications are applied before any filtering." "Please note that data modifications are applied before any filtering.","Tafadhali kumbuka kwamba marekebisho ya data hutumika kabla ya kuchuja yoyote."
"Advanced data manipulation","Advanced data manipulation" "Advanced data manipulation","Udhibiti wa data wa hali ya juu"
"Below options allow more advanced varaible manipulations.","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."
"Reorder factor levels","Reorder factor levels" "New factor","Kipengele kipya"
"Reorder the levels of factor/categorical variables.","Reorder the levels of factor/categorical variables." "Create factor/categorical variable from a continous variable (number/date/time).","Unda kigezo cha kipengele/kitengo kutoka kwa kigezo endelevu (nambari/tarehe/saa)."
"New factor","New factor" "New variable","Kigezo kipya"
"Create factor/categorical variable from a continous variable (number/date/time).","Create factor/categorical variable from a continous variable (number/date/time)." "Create a new variable based on an R-expression.","Unda kigezo kipya kulingana na usemi wa R."
"New variable","New variable" "Compare modified data to original","Linganisha data iliyobadilishwa na ya asili"
"Create a new variable based on an R-expression.","Create a new variable based on an R-expression." "Raw print of the original vs the modified data.","Chapisho ghafi la data asili dhidi ya data iliyorekebishwa."
"Compare modified data to original","Compare modified data to original" "Original data:","Data asilia:"
"Raw print of the original vs the modified data.","Raw print of the original vs the modified data." "Modified data:","Data iliyorekebishwa:"
"Original data:","Data asili:" "New column name:","Jina jipya la safu wima:"
"Modified data:","Data iliyobadilishwa:" "Group calculation by:","Hesabu ya kikundi kwa:"
"New column name:","New column name:" "Enter an expression to define new column:","Ingiza usemi ili kufafanua safu wima mpya:"
"Group calculation by:","Group calculation by:" "Click on a column name to add it to the expression:","Bofya jina la safu wima ili kuliongeza kwenye usemi:"
"Enter an expression to define new column:","Enter an expression to define new column:" "Create column","Unda safu wima"
"Click on a column name to add it to the expression:","Click on a column name to add it to the expression:" "New column name cannot be empty","Jina jipya la safu wima haliwezi kuwa tupu"
"Create column","Create column" "Create a new column","Unda safu wima mpya"
"New column name cannot be empty","New column name cannot be empty" "Some operations are not allowed","Baadhi ya shughuli haziruhusiwi"
"Create a new column","Create a new column" "Column added!","Safu wima imeongezwa!"
"Some operations are not allowed","Some operations are not allowed" "Unique values:","Thamani za kipekee:"
"Column added!","Column added!" "Variable to cut:","Inaweza kubadilishwa kwa kukata:"
"Unique values:","Unique values:" "Close intervals on the right","Funga vipindi upande wa kulia"
"Variable to cut:","Variable to cut:" "Include lowest value","Jumuisha thamani ya chini kabisa"
"Close intervals on the right","Close intervals on the right" "Create factor variable","Unda kigezo cha vipengele"
"Include lowest value","Include lowest value" "Fixed breaks:","Mapumziko yasiyobadilika:"
"Create factor variable","Create factor variable" "Method:","Mbinu:"
"Fixed breaks:","Fixed breaks:" "Convert Numeric to Factor","Badilisha Nambari kuwa Kipengele"
"Method:","Method:" "Unique:","Kipekee:"
"Convert Numeric to Factor","Convert Numeric to Factor" "Missing:","Haipo:"
"Unique:","Unique:" "Most Common:","Ya Kawaida Zaidi:"
"Missing:","Missing:" "Min:","Kiwango cha chini:"
"Most Common:","Most Common:" "Mean:","Wastani:"
"Min:","Min:" "Max:","Kiwango cha juu zaidi:"
"Mean:","Mean:" "Decimal separator:","Kitenganishi cha desimali:"
"Max:","Max:" "First five rows are shown below:","Safu tano za kwanza zinaonyeshwa hapa chini:"
"Decimal separator:","Decimal separator:" "Imported data","Data iliyoingizwa"
"First five rows are shown below:","First five rows are shown below:"
"Imported data","Imported data"
"www/intro.md","www/intro.md" "www/intro.md","www/intro.md"
"Choose your data","Choose your data" "Choose your data","Chagua data yako"
"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." "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:","Factor variable to reorder:" "Factor variable to reorder:","Kigezo cha vipengele ili kupanga upya:"
"Sort by levels","Sort by levels" "Sort by levels","Panga kwa viwango"
"Sort by count","Sort by count" "Sort by count","Panga kwa hesabu"
"Create a new variable (otherwise replaces the one selected)","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)"
"Update factor variable","Update factor variable" "Update factor variable","Sasisha kigezo cha kipengele"
"Sort count","Sort count" "Levels","Viwango"
"Levels","Levels" "Count","Hesabu"
"Count","Count" "Update levels of a factor","Sasisha viwango vya kipengele"
"Update levels of a factor","Update levels of a factor" "Update & select variables","Sasisha na uchague vigezo"
"Update & select variables","Update & select variables" "Date format:","Muundo wa tarehe:"
"Date format:","Date format:" "Date to use as origin to convert date/datetime:","Tarehe ya kutumia kama asili ya kubadilisha tarehe/tarehe:"
"Date to use as origin to convert date/datetime:","Date to use as origin to convert date/datetime:" "Apply changes","Tumia mabadiliko"
"Apply changes","Apply changes" "No data to display.","Hakuna data ya kuonyesha."
"No data to display.","No data to display." "Data successfully updated!","Data imesasishwa kwa mafanikio!"
"Data successfully updated!","Data successfully updated!" "You removed {p_out} % of observations.","Umeondoa {p_out} % ya uchunguzi."
"You removed {p_out} % of observations.","You removed {p_out} % of observations." "You removed {p_out} % of variables.","Umeondoa {p_out} % ya vigezo."
"You removed {p_out} % of variables.","You removed {p_out} % of variables." "You can import {file_extensions_text} files","Unaweza kuingiza faili za {file_extensions_text}"
"You can import {file_extensions_text} files","You can import {file_extensions_text} files" "You can choose between these file types:","Unaweza kuchagua kati ya aina hizi za faili:"
"You can choose between these file types:","You can choose between these file types:" "Rows to skip before reading data:","Safu za kuruka kabla ya kusoma data:"
"Rows to skip before reading data:","Rows to skip before reading data:" "Missing values character(s):","Herufi za thamani zinazokosekana:"
"Missing values character(s):","Missing values character(s):" "if several use a comma (',') to separate them","ikiwa kadhaa hutumia koma (',') kuwatenganisha"
"if several use a comma (',') to separate them","if several use a comma (',') to separate them" "Encoding:","Usimbaji:"
"Encoding:","Encoding:" "Upload a file:","Pakia faili:"
"Upload a file:","Upload a file:" "Browse...","Vinjari..."
"Browse...","Browse..." "Select sheet to import:","Chagua laha ya kuingiza:"
"Select sheet to import:","Select sheet to import:" "No file selected.","Hakuna faili iliyochaguliwa."
"No file selected.","No file selected." "Evaluate","Tathmini"
"Evaluate","Evaluate" "Visuals","Picha"
"Visuals","Visuals" "Regression","Urejeshaji"
"Regression","Regression" "Download","Pakua"
"Download","Download" "{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}%)."
"{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","Tayarisha"
"Prepare","Prepare" "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."
"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.","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."
"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.","Hakuna vigezo vyenye kipimo cha uhusiano kilicho juu ya kizingiti."
"No variables have a correlation measure above the threshold.","No variables have a correlation measure above the threshold." "and","na"
"and","and" "from each pair","kutoka kwa kila jozi"
"from each pair","from each pair" "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."
"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","Kipande cha habari"
"Plot","Plot" "Adjust settings, then press ""Plot"".","Rekebisha mipangilio, kisha bonyeza ""Plot""."
"Adjust settings, then press ""Plot"".","Adjust settings, then press ""Plot""." "Plot height (mm)","Urefu wa kiwanja (mm)"
"Plot height (mm)","Plot height (mm)" "Plot width (mm)","Upana wa kiwanja (mm)"
"Plot width (mm)","Plot width (mm)" "File format","Umbizo la faili"
"File format","File format" "Download plot","Pakua njama"
"Download plot","Download plot" "Select variable","Chagua kigezo"
"Select variable","Select variable" "Response variable","Kigezo cha majibu"
"Response variable","Response variable" "Plot type","Aina ya kiwanja"
"Plot type","Plot type" "Please select","Tafadhali chagua"
"Please select","Please select" "Additional variables","Vigezo vya ziada"
"Additional variables","Additional variables" "Secondary variable","Kigezo cha pili"
"Secondary variable","Secondary variable" "No variable","Hakuna kigezo"
"No variable","No variable" "Grouping variable","Kigezo cha kuweka katika makundi"
"Grouping variable","Grouping variable" "No stratification","Hakuna matabaka"
"No stratification","No stratification" "Drawing the plot. Hold tight for a moment..","Kuchora njama. Shikilia kwa muda.."
"Drawing the plot. Hold tight for a moment..","Drawing the plot. Hold tight for a moment.." "#Plotting\n","#Upangaji\n"
"#Plotting\n","#Plotting\n" "Stacked horizontal bars","Pau za mlalo zilizopangwa kwa mpangilio"
"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","Njia ya kitamaduni ya kuibua usambazaji wa mizani ya kawaida kama vile Mizani ya Nafasi iliyorekebishwa na inayojulikana kama baa za Grotta"
"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","Hadithi ya violin"
"Violin plot","Violin plot" "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"
"A modern alternative to the classic boxplot to visualise data distribution","A modern alternative to the classic boxplot to visualise data distribution" "Sankey plot","Njama ya Sankey"
"Sankey plot","Sankey plot" "A way of visualising change between groups","Njia ya kuibua mabadiliko kati ya vikundi"
"A way of visualising change between groups","A way of visualising change between groups" "Scatter plot","Njama ya kutawanya"
"Scatter plot","Scatter plot" "A classic way of showing the association between to variables","Njia ya kawaida ya kuonyesha uhusiano kati ya vigezo"
"A classic way of showing the association between to variables","A classic way of showing the association between to variables" "Box plot","Kipande cha sanduku"
"Box plot","Box plot" "A classic way to plot data distribution by groups","Njia ya kawaida ya kupanga usambazaji wa data kwa vikundi"
"A classic way to plot data distribution by groups","A classic way to plot data distribution by groups" "Euler diagram","Mchoro wa Euler"
"Euler diagram","Euler diagram" "Generate area-proportional Euler diagrams to display set relationships","Tengeneza michoro ya Euler inayolingana na eneo ili kuonyesha uhusiano uliowekwa"
"Generate area-proportional Euler diagrams to display set relationships","Generate area-proportional Euler diagrams to display set relationships" "Documentation","Nyaraka"
"Documentation","Documentation" "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."
"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","Maoni"
"Feedback","Feedback" "License: AGPLv3","Leseni: AGPLv3"
"License: AGPLv3","License: AGPLv3" "Source","Chanzo"
"Source","Source" "Data includes {n_pairs} pairs of highly correlated variables.","Data inajumuisha jozi {n_pairs} za vigeu vinavyohusiana sana."
"Data includes {n_pairs} pairs of highly correlated variables.","Data includes {n_pairs} pairs of highly correlated variables." "Create plot","Unda njama"
"Create plot","Create plot" "Coefficients plot","Mchoro wa viambato"
"Coefficients plot","Coefficients plot" "Checks","Hundi"
"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.","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."
"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","Vinjari uchunguzi"
"Browse observations","Browse observations" "Settings","Mipangilio"
"Settings","Settings" "The following error occured on determining correlations:","Hitilafu ifuatayo ilitokea katika kubaini uhusiano:"
"The following error occured on determining correlations:","The following error occured on determining correlations:" "We encountered the following error creating your report:","Tulikutana na hitilafu ifuatayo katika kuunda ripoti yako:"
"We encountered the following error creating your report:","We encountered the following error creating your report:" "No missing observations","Hakuna uchunguzi unaokosekana"
"No missing observations","No missing observations" "There is a total of {p_miss} % missing observations.","Kuna jumla ya uchunguzi wa {p_miss}% unaokosekana."
"There is a total of {p_miss} % missing observations.","There is a total of {p_miss} % missing observations." "Median:","Wastani:"
"Median:","Median:" "Restore original data","Rejesha data asili"
"Restore original data","Restore original data" "Reset to original imported dataset. Careful! There is no un-doing.","Rudisha kwenye seti ya data asili iliyoingizwa. Kuwa mwangalifu! Hakuna kutengua."
"Reset to original imported dataset. Careful! There is no un-doing.","Reset to original imported dataset. Careful! There is no un-doing." "Characteristics","Sifa"
"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.","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."
"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?","Linganisha tabaka?"
"Compare strata?","Compare strata?" "Correlations","Uhusiano"
"Correlations","Correlations" "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'."
"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","Kikomo cha uhusiano"
"Correlation cut-off","Correlation cut-off" "Set the cut-off for considered 'highly correlated'.","Weka kikomo cha 'kinachohusiana sana'."
"Set the cut-off for considered 'highly correlated'.","Set the cut-off for considered 'highly correlated'." "Missings","Hazipo"
"Missings","Missings" "Class","Darasa"
"Class","Class" "Observations","Uchunguzi"
"Observations","Observations" "Data classes and missing observations","Madarasa ya data na uchunguzi unaokosekana"
"Data classes and missing observations","Data classes and missing observations" "Sure you want to reset data? This cannot be undone.","Una uhakika unataka kuweka upya data? Hii haiwezi kutenduliwa."
"Sure you want to reset data? This cannot be undone.","Sure you want to reset data? This cannot be undone." "Cancel","Ghairi"
"Cancel","Cancel" "Confirm","Thibitisha"
"Confirm","Confirm" "The filtered data","Data iliyochujwa"
"The filtered data","The filtered data" "Create new factor","Unda kipengele kipya"
"Create new factor","Create new factor" "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*!"
"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","Unda vigezo vipya"
"Create new variables","Create new variables" "Select data types to include","Chagua aina za data za kujumuisha"
"Select data types to include","Select data types to include" "Uploaded data overview","Muhtasari wa data iliyopakiwa"
"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.","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."
"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","Bainisha vigeu vinavyoweza kuunganishwa"
"Specify covariables","Specify covariables" "If none are selected, all are included.","Ikiwa hakuna aliyechaguliwa, wote wamejumuishwa."
"If none are selected, all are included.","If none are selected, all are included." "Analyse","Changanua"
"Analyse","Analyse" "Working...","Inafanya kazi..."
"Working...","Working..." "Press 'Analyse' to create the regression model and after changing parameters.","Bonyeza 'Changanua' ili kuunda modeli ya urejeshaji na baada ya kubadilisha vigezo."
"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","Onyesha thamani ya p"
"Show p-value","Show p-value" "Model checks","Ukaguzi wa modeli"
"Model checks","Model checks" "Please confirm data reset!","Tafadhali thibitisha urejeshaji wa data!"
"Please confirm data reset!","Please confirm data reset!" "Import data from REDCap","Ingiza data kutoka REDCap"
"Import data from REDCap","Import data from REDCap" "REDCap server","Seva ya REDCap"
"REDCap server","REDCap server" "Web address","Anwani ya wavuti"
"Web address","Web address" "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/'"
"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","Tokeni ya API"
"API token","API token" "The token is a string of 32 numbers and letters.","Tokeni ni mfuatano wa nambari na herufi 32."
"The token is a string of 32 numbers and letters.","The token is a string of 32 numbers and letters." "Connect","Unganisha"
"Connect","Connect" "Data import parameters","Vigezo vya kuingiza data"
"Data import parameters","Data import parameters" "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"
"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","Ingiza"
"Import","Import" "Click to see data dictionary","Bofya ili kuona kamusi ya data"
"Click to see data dictionary","Click to see data dictionary" "Connected to server!","Imeunganishwa na seva!"
"Connected to server!","Connected to server!" "The {data_rv$info$project_title} project is loaded.","Mradi wa {data_rv$info$project_title} umepakiwa."
"The {data_rv$info$project_title} project is loaded.","The {data_rv$info$project_title} project is loaded." "Data dictionary","Kamusi ya data"
"Data dictionary","Data dictionary" "Preview:","Hakikisho:"
"Preview:","Preview:" "Imported data set","Seti ya data iliyoingizwa"
"Imported data set","Imported data set" "Select fields/variables to import:","Chagua sehemu/vigezo vya kuingiza:"
"Select fields/variables to import:","Select fields/variables to import:" "Specify the data format","Bainisha umbizo la data"
"Specify the data format","Specify the data format" "Fill missing values?","Jaza thamani zinazokosekana?"
"Fill missing values?","Fill missing values?" "Requested data was retrieved!","Data iliyoombwa ilipatikana!"
"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 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 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 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."
"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","Bofya ili kuona data iliyoingizwa"
"Click to see the imported data","Click to see the imported data" "Regression table","Jedwali la urejeshaji"
"Regression table","Regression table" "Import a dataset from an environment","Ingiza seti ya data kutoka kwa mazingira"
"Import a dataset from an environment","Import a dataset from an environment" "Select a dataset:","Chagua seti ya data:"
"Select a dataset:","Select a dataset:" "List of datasets...","Orodha ya seti za data..."
"List of datasets...","List of datasets..." "No data selected!","Hakuna data iliyochaguliwa!"
"No data selected!","No data selected!" "No dataset here...","Hakuna seti ya data hapa..."
"No dataset here...","No dataset here..." "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."
"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","Sio data.frame"
"Not a data.frame","Not a data.frame" "Select source","Chagua chanzo"
"Select source","Select source" "Select a data source:","Chagua chanzo cha data:"
"Select a data source:","Select a data source:" "Yes","Ndiyo"
"Yes","Yes" "No","Hapana"
"No","No" "Coefficient plot","Mchoro wa mgawo"
"Coefficient plot","Coefficient plot" "Select outcome variable","Chagua kigezo cha matokeo"
"Select outcome variable","Select outcome variable" "Choose regression analysis","Chagua uchanganuzi wa marejeleo"
"Choose regression analysis","Choose regression analysis" "Covariables to format as categorical","Vigezo vinavyoweza kubadilishwa ili viundwe kama vya kategoria"
"Covariables to format as categorical","Covariables to format as categorical" "Select variable to stratify baseline","Chagua kigezo ili kuweka tabaka la msingi"
"Select variable to stratify baseline","Select variable to stratify baseline" "Select models to plot","Chagua mifano ya kuchora"
"Select models to plot","Select models to plot" "Creating regression models failed with the following error:","Kuunda mifumo ya urejeshaji kumeshindwa kutokana na hitilafu ifuatayo:"
"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:","Kuunda jedwali la urejelezaji kulishindwa kutokana na hitilafu ifuatayo:"
"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..","Kuhifadhi njama. Subiri kwa muda.."
"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:","Kuendesha ukaguzi wa mawazo ya modeli kulishindwa na hitilafu ifuatayo:"
"Running model assumptions checks failed with the following error:","Running model assumptions checks failed with the following error:" "Select checks to plot","Chagua ukaguzi wa kupanga"
"Select checks to plot","Select checks to plot" "Multivariable regression model checks","Ukaguzi wa modeli ya urejeshaji unaoweza kubadilika-badilika"
"Multivariable regression model checks","Multivariable regression model checks" "Grouped by {get_label(data,ter)}","Imepangwa kwa makundi kulingana na {get_label(data,ter)}"
"Grouped by {get_label(data,ter)}","Grouped by {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."
"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.","Bonyeza 'Tathmini' ili kuunda jedwali la kulinganisha."
"Press 'Evaluate' to create the comparison table.","Press 'Evaluate' to create the comparison table." "The data includes {n_col} variables. Please limit to 100.","Data inajumuisha vigezo vya {n_col}. Tafadhali punguza hadi 100."
"The data includes {n_col} variables. Please limit to 100.","The data includes {n_col} variables. Please limit to 100." "Data import","Uingizaji wa data"
"Data import","Data import" "Data import formatting","Uumbizaji wa kuingiza data"
"Data import formatting","Data import formatting" "Data modifications","Marekebisho ya data"
"Data modifications","Data modifications" "Variables filter","Kichujio cha vigeugeu"
"Variables filter","Variables filter" "Data filter","Kichujio cha data"
"Data filter","Data filter" "Data characteristics table","Jedwali la sifa za data"
"Data characteristics table","Data characteristics table" "The dataset without text variables","Seti ya data bila vigeu vya maandishi"
"The dataset without text variables","The dataset without text variables" "Creating the table. Hold on for a moment..","Kutengeneza meza. Subiri kwa muda.."
"Creating the table. Hold on for a moment..","Creating the table. Hold on for a moment.." "Generating the report. Hold on for a moment..","Inazalisha ripoti. Subiri kidogo.."
"Generating the report. Hold on for a moment..","Generating the report. Hold on for a moment.." "We encountered the following error showing missingness:","Tulikutana na hitilafu ifuatayo inayoonyesha ukosefu:"
"We encountered the following error showing missingness:","We encountered the following error showing missingness:" "We encountered the following error browsing your data:","Tulipata hitilafu ifuatayo wakati wa kuvinjari data yako:"
"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.","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."
"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","Nyingine"
"Other","Other" "Hour of the day","Saa ya siku"
"Hour of the day","Hour of the day" "Breaks","Mapumziko"
"Breaks","Breaks" "By day of the week","Kwa siku ya wiki"
"By day of the week","By day of the week" "By weekday","Kufikia siku ya wiki"
"By weekday","By weekday" "By week number and year","Kwa idadi ya wiki na mwaka"
"By week number and year","By week number and year" "By week number","Kwa nambari ya wiki"
"By week number","By week number" "By month and year","Kwa mwezi na mwaka"
"By month and year","By month and year" "By month only","Kwa mwezi pekee"
"By month only","By month only" "By quarter of the year","Kufikia robo ya mwaka"
"By quarter of the year","By quarter of the year" "By year","Kwa mwaka"
"By year","By year" "Keep only most common","Weka pekee ya kawaida"
"Keep only most common","Keep only most common" "Number","Nambari"
"Number","Number" "Combine below percentage","Changanya chini ya asilimia"
"Combine below percentage","Combine below percentage" "Percentage","Asilimia"
"Percentage","Percentage" "By specified numbers","Kwa nambari zilizoainishwa"
"By specified numbers","By specified numbers" "By quantiles (groups of equal size)","Kwa quantiles (vikundi vya ukubwa sawa)"
"By quantiles (groups of equal size)","By quantiles (groups of equal size)" "Please fill in web address and API token, then press 'Connect'.","Tafadhali jaza anwani ya wavuti na tokeni ya API, kisha bonyeza 'Unganisha'."
"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.","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."
"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","Maandishi au herufi ya kugawanya mfuatano kwa"
"Text or character to split string by","Text or character to split string by" "Split the variable","Gawanya kigezo"
"Split the variable","Split the variable" "Variable to split:","Kinachoweza kubadilika hadi kugawanyika:"
"Variable to split:","Variable to split:" "Direction:","Mwelekeo:"
"Direction:","Direction:" "Split string to multiple columns. Keep number of rows.","Gawanya mfuatano katika safu wima nyingi. Weka idadi ya safu wima."
"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","Gawanya mfuatano katika uchunguzi mwingi (safu) katika safu wima moja. Pia vitambulisho vya matangazo na safu wima za mfano"
"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","Gawanya mfuatano wa herufi"
"Split character string","Split character string" "Split text","Gawanya maandishi"
"Split text","Split text" "Split a character string by a common delimiter","Gawanya mfuatano wa herufi kwa kitenganishi cha kawaida"
"Split a character string by a common delimiter","Split a character string by a common delimiter" "Select delimiter","Chagua kidhibiti"
"Select delimiter","Select delimiter" "Browse data preview","Vinjari hakikisho la data"
"Browse data preview","Browse data preview" "Original data","Data asili"
"Original data","Original data" "Preview of result","Hakikisho la matokeo"
"Preview of result","Preview of result" "No character variables with accepted delimiters detected.","Hakuna vigezo vya herufi vilivyo na vidhibiti vinavyokubalika vilivyogunduliwa."
"No character variables with accepted delimiters detected.","No character variables with accepted delimiters detected." "Split a text column by a recognised delimiter.","Gawanya safu wima ya maandishi kwa kitenga kinachotambulika."
"Split a text column by a recognised delimiter.","Split a text column by a recognised delimiter." "Apply split","Tumia mgawanyiko"
"Apply split","Apply split" "Stacked relative barplot","Kipande cha baruni kilichopangwa kwa mirundiko"
"Stacked relative barplot","Stacked relative barplot" "Create relative stacked barplots to show the distribution of categorical levels","Unda viwanja vya baruni vilivyopangwa ili kuonyesha usambazaji wa viwango vya kategoria"
"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","Kipande cha baruni cha kando kwa kando"
"Side-by-side barplot","Side-by-side barplot" "Create side-by-side barplot to show the distribution of categorical levels","Unda mpangilio wa barufa kando ili kuonyesha usambazaji wa viwango vya kategoria"
"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","Chagua mandhari ya jedwali"
"Select table theme","Select table theme" "Level of detail","Kiwango cha maelezo"
"Level of detail","Level of detail" "Minimal","Kidogo"
"Minimal","Minimal" "Extensive","Kina"
"Extensive","Extensive" "Letters","Barua"
"Letters","Letters" "Words","Maneno"
"Words","Words" "Shorten to first letters","Fupisha herufi za kwanza"
"Shorten to first letters","Shorten to first letters" "Shorten to first words","Fupisha maneno ya kwanza"
"Shorten to first words","Shorten to first words" "Missings across variables by the variable **'{input$missings_var}'**","Hazipo katika vigezo kwa kigezo **'{input$missings_var}'**"
"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$missings_var}'**","Uchunguzi unaokosekana dhidi ya usiokosekana katika kigezo **'{input$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.","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."
"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..","Kuhesabu. Shikilia kwa muda.."
"Calculating. Hold tight for a moment..","Calculating. Hold tight for a moment.." "Overview of missing observations","Muhtasari wa uchunguzi uliokosekana"
"Overview of missing observations","Overview of missing observations" "Analysis method for missingness overview","Mbinu ya uchambuzi wa muhtasari wa kukosekana"
"Analysis method for missingness overview","Analysis method for missingness overview" "Overview of missings across variables","Muhtasari wa mambo yanayokosekana katika vigezo"
"Overview of missings across variables","Overview of missings across variables" "Overview of difference in variables by missing status in outcome","Muhtasari wa tofauti katika vigezo kwa kukosa hali katika matokeo"
"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","Chagua kigezo cha muhtasari wa kikundi"
"Select a variable for grouped overview","Select a variable for grouped overview" "Select outcome variable for overview","Chagua kigezo cha matokeo kwa muhtasari"
"Select outcome variable for overview","Select outcome variable for overview" "No outcome measure chosen","Hakuna kipimo cha matokeo kilichochaguliwa"
"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}.","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}."
"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","Jumuisha tofauti za vikundi"
"Include group differences","Include group differences" "Error:","Hitilafu:"
"Error:","Error:" "Download table","Pakua jedwali"
"Download table","Download table" "Welcome to FreesearchR","Karibu kwenye FreesearchR"
"Welcome to FreesearchR","Welcome to FreesearchR" "A free data analysis tool for clinicians, students, and learners","Zana ya uchambuzi wa data bila malipo kwa madaktari, wanafunzi, na wanafunzi"
"A free data analysis tool for clinicians, students, and learners","A free data analysis tool for clinicians, students, and learners" "Core Features","Vipengele vya Msingi"
"Core Features","Core Features" "Import Data","Ingiza Data"
"Import Data","Import Data" "Data Management","Usimamizi wa Data"
"Data Management","Data Management" "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."
"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","Takwimu za Maelezo"
"Descriptive Statistics","Descriptive Statistics" "Additional Capabilities","Uwezo wa Ziada"
"Additional Capabilities","Additional Capabilities" "Data Visualization","Uonyeshaji wa Data"
"Data Visualization","Data Visualization" "Create simple, clean plots for quick insights and overview","Unda michoro rahisi na safi kwa ajili ya maarifa ya haraka na muhtasari"
"Create simple, clean plots for quick insights and overview","Create simple, clean plots for quick insights and overview" "Regression Models","Mifumo ya Urejeshaji"
"Regression Models","Regression Models" "Build simple regression models for advanced analysis","Jenga mifumo rahisi ya urejelezaji kwa ajili ya uchambuzi wa hali ya juu"
"Build simple regression models for advanced analysis","Build simple regression models for advanced analysis" "Export & Learn","Hamisha na Ujifunze"
"Export & Learn","Export & Learn" "Download Results","Pakua Matokeo"
"Download Results","Download Results" "Get Modified Data","Pata Data Iliyorekebishwa"
"Get Modified Data","Get Modified Data" "Reproducible Code","Nambari Inayoweza Kurudiwa"
"Reproducible Code","Reproducible Code" "Full Documentation","Nyaraka Kamili"
"Full Documentation","Full Documentation" "Share Feedback","Shiriki Maoni"
"Share Feedback","Share Feedback" "Contact Us","Wasiliana Nasi"
"Contact Us","Contact Us" "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."
"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","Nyumbani"
"Home","Home" "Start with FreesearchR for basic data evaluation and analysis.","Anza na FreesearchR kwa tathmini na uchambuzi wa data ya msingi."
"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.","Unapohitaji zana za hali ya juu zaidi, utakuwa tayari zaidi kutumia R moja kwa moja."
"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)","(Soma zaidi)"
"(Read more)","(Read more)" "Run the FreesearchR app locally when working with sensitive data.","Endesha programu ya FreesearchR ndani ya eneo lako unapofanya kazi na data nyeti."
"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.","Pakia data kutoka kwa lahajedwali, seva za REDCap, au jaribu na data ya sampuli. Vyanzo vingi vinaungwa mkono kwa unyumbufu wa hali ya juu."
"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.","Tathmini data kwa kutumia uchambuzi wa maelezo, kagua uhusiano, na uhakiki uchunguzi unaokosekana kwa ufanisi."
"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","Hamisha matokeo moja kwa moja kwenye kihariri chako cha maandishi"
"Export results directly to your text editor","Export results directly to your text editor" "Save your processed datasets for later","Hifadhi seti zako za data zilizosindikwa kwa ajili ya baadaye"
"Save your processed datasets for later","Save your processed datasets for later" "Learn and reproduce results in R","Jifunze na uzalishe matokeo katika R"
"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.","Unapohitaji zana za hali ya juu zaidi, utakuwa tayari kutumia R moja kwa moja."
"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." "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.