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Prepare data originating from SoSci Survey

Source: R/clean.R
data_clean_sosci.Rd

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)

Usage

data_clean_sosci(data, remove.na.levels = TRUE, remove.na.numbers = TRUE)

Arguments

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. options(vlkr.na.levels=c("Not answered")) or to disable options(vlkr.na.levels=FALSE)).

remove.na.numbers

Remove residual values from numeric columns. Either a numeric vector with residual values or TRUE to use defaults in VLKR_NA_NUMBERS. You can also define or disable residual values by setting the global option vlkr.na.numbers (e.g. options(vlkr.na.numbers=c(-2,-9)) or to disable options(vlkr.na.numbers=FALSE)).

Value

Data frame with vlkr_df class (the class is used to prevent double preparation).

Details

The tibble remembers whether it was already prepared and the operations are only performed once in the first call.

Examples

ds <- volker::chatgpt
ds <- data_clean_sosci(ds)