labelr (version 0.1.9)

add_lab_cols: Add Variable Value Label Columns to a Data Frame

Description

Add copies of value-labeled columns to a data.frame, where the new columns' values are replaced with the corresponding value labels.

Usage

add_lab_cols(data, vars = NULL, suffix = "_lab")
alc(data, vars = NULL, suffix = "_lab")

Value

A data.frame consisting of the originally supplied data.frame, along with (all or the select) labels-on variable versions added to it.

Arguments

data

a data.frame.

vars

the names of the columns (variables) for which "labels-on" (values replaced with value labels) versions of the variable will be added to the returned data.frame.

suffix

a suffix that will be added to the names of all labels-on variables added to the data.frame (the non-suffix portion of the variable name will be identical to the original variable, e.g., the labels-on version of "x1" will be "x1_lab" (or whatever alternative suffix you supply)).

Details

Note: alc is a compact alias for add_lab_cols: they do the same thing, and the former is easier to type.

add_lab_cols adds one or more "labels-on" columns to a data.frame, where "labels-on" means that the column's original values are replaced with the corresponding value labels. Note that these columns do not replace but are added to their parent/source columns in the returned data.frame. The resulting "labels-on" columns are simple, self-contained character columns that cannot themselves be converted or reverted to the original ("labels-off") values of their parent/source columns.

For other ways of accessing or leveraging value labels, see, e.g., use_val_labs, val_labs_vec, add_lab_dummies, lab_int_to_factor, flab, slab, get_val_labs, with_val_labs, headl, taill, somel, and tabl. In particular, see use_val_labs if, rather than adding a "labels-on" column to a data.frame, you wish to replace a column's values with the corresponding value labels. See val_labs_vec if you wish to convert a single, value-labeled column's values to labels and return the result as a stand-alone vector.

Examples

# one variable at a time, mtcars
df <- mtcars
# now, add value labels
df <- add_val_labs(
  data = df,
  vars = "am",
  vals = c(0, 1),
  labs = c("automatic", "manual")
)

df <- add_val_labs(
  data = df,
  vars = "carb",
  vals = c(1, 2, 3, 4, 6, 8),
  labs = c(
    "1-carb", "2-carbs",
    "3-carbs", "4-carbs",
    "6-carbs", "8-carbs"
  )
)

# var arg can be unquoted if using add_val1()
# note that this is not add_val_labs(); add_val1() has "var" (not "vars) arg
df <- add_val1(
  data = df,
  var = cyl, # note, "var," not "vars" arg
  vals = c(4, 6, 8),
  labs = c(
    "four-cyl",
    "six-cyl",
    "eight-cyl"
  )
)

df <- add_val_labs(
  data = df,
  vars = "gear",
  vals = c(3, 4),
  labs = c(
    "3-speed",
    "4-speed"
  )
)

# Oops, we forgot 5-speeds; let's finish the job.
df <- add_val_labs(
  data = df,
  vars = "gear",
  vals = 5,
  labs = "5-speed"
)

# add value labels-on versions of the foregoing to df and return as "df_plus"
df_plus <- add_lab_cols(df)
head(df_plus)
head(df_plus[c("am", "am_lab")])