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Andreas Gammelgaard Damsbo 2025-10-27 10:27:32 +01:00
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19
inst/translations/translation_da.csv
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@ -25,7 +25,6 @@
"Edit and create data","Ændr og opret variabler"
"Subset, rename and convert variables","Udvælg, omdøb og konverter variabler"
"Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).","Nedenfor er der mulighed for at lave simple ændringer i dit datasæt, såsom at redigere variabelnavne eller beskrivelser (bedre tabeller), eller omklassificering af variabler (numerisk, factoriel/kategorisk)."
"There are more advanced options to modify factor/categorical variables as well as create new factor from a continous variable or new variables with R code. At the bottom you can restore the original data.","Her er mere avancerede muligheder for at ændre faktorielle/kategoriske data, danne nye faktorielle variabler fra kontinuerte eller komplet nye baseret på R-kode. Nederst har du mulighed for at gendanne data."
"Please note that data modifications are applied before any filtering.","Bemærk at alle ændringer i data anvendes inden filtreringen."
"Advanced data manipulation","Avanceret datamanipulation"
"Below options allow more advanced varaible manipulations.","Nedenfor er mulighed for avancerede ændringer i data."
@ -255,3 +254,21 @@
"To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random.","Vælg svarvariablen, for at få hjælp til at vurdere om manglende observationer manglende tilfældigt eller ej (kun variabler med manglende data kan vælges). Hvis der er statistisk signifikant forskel mellem nogle af de øvrige variabler i forhold til manglende data i den valgte variable kan det være et udtryk for at data ikke mangler tilfældigt."
"Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.","Vælg et navn til den nye variabel, skriv din formel og tryk så på knappen for at gemme variablen, eller annuler for at lukke uden at gemme."
"Please fill in web address and API token, then press 'Connect'.","Udfyld serveradresse og API-nøgle, og tryk så 'Fobind'."
"Other","Other"
"Hour of the day","Hour of the day"
"Breaks","Breaks"
"By day of the week","By day of the week"
"By weekday","By weekday"
"By week number and year","By week number and year"
"By month and year","By month and year"
"By month only","By month only"
"By quarter of the year","By quarter of the year"
"By year","By year"
"Keep only most common","Keep only most common"
"Number","Number"
"Combine below percentage","Combine below percentage"
"Percentage","Percentage"
"By specified numbers","By specified numbers"
"By quantiles (groups of equal size)","By quantiles (groups of equal size)"
"By week number","By week number"
"There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data.","There are more advanced options to modify factor/categorical variables as well as create new factor from an existing variable or new variables with R code. At the bottom you can restore the original data."

1 en da
25 Edit and create data Ændr og opret variabler
26 Subset, rename and convert variables Udvælg, omdøb og konverter variabler
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.). Nedenfor er der mulighed for at lave simple ændringer i dit datasæt, såsom at redigere variabelnavne eller beskrivelser (bedre tabeller), eller omklassificering af variabler (numerisk, factoriel/kategorisk).
There are more advanced options to modify factor/categorical variables as well as create new factor from a continous variable or new variables with R code. At the bottom you can restore the original data. Her er mere avancerede muligheder for at ændre faktorielle/kategoriske data, danne nye faktorielle variabler fra kontinuerte eller komplet nye baseret på R-kode. Nederst har du mulighed for at gendanne data.
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.
254 To consider if data is missing by random, choose the outcome/dependent variable (only variables with any missings are available). If there is a significant difference across other variables depending on missing observations, it may not be missing at random. Vælg svarvariablen, for at få hjælp til at vurdere om manglende observationer manglende tilfældigt eller ej (kun variabler med manglende data kan vælges). Hvis der er statistisk signifikant forskel mellem nogle af de øvrige variabler i forhold til manglende data i den valgte variable kan det være et udtryk for at data ikke mangler tilfældigt.
255 Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything. Vælg et navn til den nye variabel, skriv din formel og tryk så på knappen for at gemme variablen, eller annuler for at lukke uden at gemme.
256 Please fill in web address and API token, then press 'Connect'. Udfyld serveradresse og API-nøgle, og tryk så 'Fobind'.
257 Other Other
258 Hour of the day Hour of the day
259 Breaks Breaks
260 By day of the week By day of the week
261 By weekday By weekday
262 By week number and year By week number and year
263 By month and year By month and year
264 By month only By month only
265 By quarter of the year By quarter of the year
266 By year By year
267 Keep only most common Keep only most common
268 Number Number
269 Combine below percentage Combine below percentage
270 Percentage Percentage
271 By specified numbers By specified numbers
272 By quantiles (groups of equal size) By quantiles (groups of equal size)
273 By week number By week number
274 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.