scrubber: Clean Imported Text

In trinker/qdap: Bridging the Gap Between Qualitative Data and Quantitative Analysis

Description

Use to clean text variables when importing a new data set. Removes extra white spaces other textual anomalies that may cause errors.

Usage

scrubber(
  text.var,
  num2word = FALSE,
  rm.quote = TRUE,
  fix.comma = TRUE,
  fix.space = TRUE,
  ...
)

Arguments

text.var	The text variable.
num2word	logical If TRUE replaces a numbers with text representations.
rm.quote	logical If TRUE removes any \".
fix.comma	logical If TRUE removes any spaces before a comma.
fix.space	logical. If TRUE extra spaces before endmarks are removed.
...	Other arguments passed to replace_number.

Value

Returns a parsed character vector.

See Also

strip

Examples

## Not run: 
x <- c("I like 456 dogs\t  , don't you?", 'The end"')
scrubber(x)
scrubber(x, TRUE)

## End(Not run)

trinker/qdap documentation built on Sept. 30, 2020, 6:28 p.m.