var_lab: Set or get variable label
In adayim/cttab: Tables of Descriptive Statistics in word

Description Usage Arguments Details Value Examples

These functions set/get/drop variable labels. For value labels see val_lab.

var_lab returns variable label or NULL if label doesn't exist.
var_lab<- set variable label.
drop_lab drops variable label.
has.label check if variable label exists.
add_labelled_class Add missing 'labelled' class. This function is needed when you load SPSS data with packages which in some cases don't set 'labelled' class for variables with labels. For example, haven package doesn't set 'labelled' class for variables which have variable label but don't have value labels. Note that to use 'expss' with 'haven' you need to load 'expss' strictly after 'haven' to avoid conflicts.

var_lab(x, default = NULL)

## S3 method for class 'data.frame'
var_lab(x, default = NULL)

var_lab(x) <- value

has.label(x)

drop_lab(x)

drop_var_labs(x)

add_labelled_class(
  x,
  remove_classes = c("haven_labelled", "spss_labelled", "haven_labelled_spss",
    "vctrs_vctr")
)

`x`	Variable. In the most cases it is numeric vector.
`default`	A character scalar. What we want to get from 'var_lab' if there is no variable label. NULL by default.
`value`	A character scalar - label for the variable x.
`remove_classes`	A character vector of classes which should be removed from the class attribute of the `x`.

Variable label is stored in attribute "label" (attr(x,"label")). For preserving from dropping this attribute during some operations (such as c) variable class is set to "labelled". There are special methods of subsetting and concatenation for this class. To drop variable label use var_lab(var) <- NULL or drop_lab(var).

var_lab return variable label. If label doesn't exist it return NULL . var_lab<- return variable (vector x) of class "labelled" with attribute "label" which equals submitted value.

data(mtcars)
mtcars = within(mtcars,{
                var_lab(mpg) = "Miles/(US) gallon"
                var_lab(cyl) = "Number of cylinders"
                var_lab(disp) = "Displacement (cu.in.)"
                var_lab(hp) = "Gross horsepower"
                var_lab(drat) = "Rear axle ratio"
                var_lab(wt) = "Weight (lb/1000)"
                var_lab(qsec) = "1/4 mile time"
                var_lab(vs) = "V/S"
                var_lab(am) = "Transmission"
                val_lab(am) = c(automatic = 0, manual=1)
                var_lab(gear) = "Number of forward gears"
                var_lab(carb) = "Number of carburetors"
})

table(mtcars$am)