data_clean_default: Prepare data originating from SoSci Survey or SPSS

In volker: High-Level Functions for Tabulating, Charting and Reporting Survey Data

Prepare data originating from SoSci Survey or SPSS

Description

Preparation steps:

• 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_default(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)).

Details

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

Value

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

Examples

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

volker documentation built on April 12, 2025, 9:16 a.m.