Maps numeric Likert-scale values to descriptive labels using the same
mapping vector approach as collapse_likert(), then indexes into labels
to produce character output. Values in na_values are mapped to na_label
instead of NA.
Usage
label_likert(
data,
vars,
labels,
mapping = c(1L, 1L, 2L, 3L, 3L),
na_values = 97,
na_label = "Unsure"
)Arguments
- data
A data frame.
- vars
A character vector of column names to label.
- labels
A character vector of labels, one per collapsed category. Length must equal
max(mapping). For example,c("Decrease", "No change", "Increase").- mapping
An integer vector where position i gives the collapsed category for original value i. Defaults to
c(1L, 1L, 2L, 3L, 3L).- na_values
Numeric vector of values to map to
na_label. Defaults to97.- na_label
Character string used for values in
na_values. Defaults to"Unsure".
Examples
d <- data.frame(q1 = c(1, 2, 3, 4, 5, 97))
label_likert(d, "q1",
labels = c("Decrease", "No change", "Increase")
)
#> q1
#> 1 Decrease
#> 2 Decrease
#> 3 No change
#> 4 Increase
#> 5 Increase
#> 6 Unsure