data_clean_sosci {volker} | R Documentation |
The tibble remembers whether it was already prepared and the operations are only performed once in the first call.
data_clean_sosci(
data,
remove.na.levels = TRUE,
remove.na.numbers = TRUE,
add.whitespace = TRUE
)
data |
Data frame |
remove.na.levels |
Remove residual values from factor columns.
Either a character vector with residual values or TRUE to use defaults in VLKR_NA_LEVELS.
You can also define or disable residual levels by setting the global option vlkr.na.levels
(e.g. |
remove.na.numbers |
Remove residual values from numeric columns.
Either a numeric vector with residual values or TRUE to use defaults in VLKR_NA_NUMERIC.
You can also define or disable residual values by setting the global option vlkr.na.numbers
(e.g. |
add.whitespace |
Add whitespace after slashes for improved label breaks. |
Prepares SoSci Survey data:
Remove the avector class from all columns (comes from SoSci and prevents combining vectors)
Recode residual factor values to NA (e.g. "NA nicht beantwortet")
Recode residual numeric values to NA (e.g. -9)
Add whitespace after slashes to better label breaks
Data frame with vlkr_df class (the class is used to prevent double preparation).
ds <- volker::chatgpt
ds <- data_clean_sosci(ds)