R/lama_select.R
lama_select.Rd
The functions lama_select()
and lama_select_()
pick one or more
variable translations from a lama_dictionary class object
and create a new lama_dictionary class object.
The function lama_select()
uses non-standard evaluation, whereas
lama_select_()
is the standard evaluation alternative.
lama_select(.data, ...) # S3 method for lama_dictionary lama_select(.data, ...) lama_select_(.data, key) # S3 method for lama_dictionary lama_select_(.data, key)
.data | A lama_dictionary object, holding the variable translations |
---|---|
... | One or more unquoted translation names separated by commas. |
key | A character vector holding the names of the variable translations that should be picked. |
A new lama_dictionary class object, holding the picked variable translations.
lama_translate()
, lama_to_factor()
, lama_translate_all()
,
lama_to_factor_all()
, new_lama_dictionary()
,
as.lama_dictionary()
, lama_rename()
, lama_mutate()
,
lama_merge()
, lama_read()
, lama_write()
# initialize lama_dictinoary dict <- new_lama_dictionary( country = c(uk = "United Kingdom", fr = "France", NA_ = "other countries"), language = c(en = "English", fr = "French"), result = c("1" = "Very good", "2" = "Good", "3" = "Not so good") ) ## Example-1: Usage of 'lama_select' # pick the translations 'result' and 'language' # and add them to a new lama_dictionary dict_sub <- lama_select(dict, result, language) dict_sub#> #> --- lama_dictionary --- #> Variable 'result': #> 1 2 3 #> "Very good" "Good" "Not so good" #> #> Variable 'language': #> en fr #> "English" "French" #>## Example-2: Usage of 'lama_select_' # pick the translations 'result' and 'language' # and add them to a new lama_dictionary dict_sub <- lama_select_(dict, c("result", "language")) dict_sub#> #> --- lama_dictionary --- #> Variable 'result': #> 1 2 3 #> "Very good" "Good" "Not so good" #> #> Variable 'language': #> en fr #> "English" "French" #>