revalids: Recode Invalid Values from Data

In quest: Prepare Questionnaire Data for Analysis

Description

revalids recodes invalid data to specified values. For example, sometimes invalid values are present in a vector of data (e.g., age = -1). This function allows you to specify which values are possible and will then recode any impossible values to undefined. revalids is simply a vectorized version of revalid to more easily revalid multiple columns of a data.frame at the same time.

Usage

revalids(data, vrb.nm, valid, undefined = NA, suffix = "_v")

Arguments

data	data.frame of data.
vrb.nm	character vector of colnames from data specifying the variables.
valid	atomic vector of valid values for the data. Note, the valid values must be the same for each variable.
undefined	atomic vector of length 1 specifying what the invalid values should be recoded to.
suffix	character vector of length 1 specifying the string to add to the end of the colnames in the return object.

Value

data.frame of recoded variables where any values not present in valid have been recoded to undefined with colnames specified by paste0(vrb.nm, suffix).

See Also

revalid valids_test valid_test

Examples

revalids(data = attitude, vrb.nm = names(attitude),
   valid = 25:75) # numeric data
revalids(data = as.data.frame(CO2), vrb.nm = c("Type","Treatment"),
   valid = c('Quebec','nonchilled')) # factors

quest documentation built on Sept. 10, 2021, 5:07 p.m.