expss (version 0.11.6)

names2labels: Replace data.frame/list names with corresponding variables labels.

Description

names2labels replaces data.frame/list names with corresponding variables labels. If there are no labels for some variables their names remain unchanged. n2l is just shortcut for names2labels.

Usage

names2labels(x, exclude = NULL, keep_names = FALSE)
n2l(x, exclude = NULL, keep_names = FALSE)

Value

Object of the same type as x but with variable labels instead of names.

Arguments

x

data.frame/list.

exclude

logical/integer/character columns which names should be left unchanged. Only applicable to list/data.frame.

keep_names

logical. If TRUE original column names will be kept with labels. Only applicable to list/data.frame.

See Also

values2labels, val_lab, var_lab

Examples

data(mtcars)
mtcars = mtcars %>% 
    apply_labels(
        mpg = "Miles/(US) gallon",
        cyl = "Number of cylinders",
        disp = "Displacement (cu.in.)",
        hp = "Gross horsepower",
        drat = "Rear axle ratio",
        wt = "Weight (lb/1000)",
        qsec = "1/4 mile time",
        vs = "Engine",
        vs = c("V-engine" = 0, 
                "Straight engine" = 1),
        am = "Transmission",
        am = c(automatic = 0, 
                manual=1),
        gear = "Number of forward gears",
        carb = "Number of carburetors"
    )

# without original names
# note: we exclude dependent variable 'mpg' from conversion to use its short name in formula
summary(lm(mpg ~ ., data = names2labels(mtcars, exclude = "mpg")))
# with names
summary(lm(mpg ~ ., data = names2labels(mtcars, exclude = "mpg", keep_names = TRUE)))