Get / Set a variable label

var_label(x, unlist = FALSE)

var_label(x) <- value

set_variable_labels(.data, ..., .labels = NA, .strict = TRUE)

Arguments

x a vector or a data.frame for data frames, return a named vector instead of a list a character string or NULL to remove the label For data frames, it could also be a named list or a character vector of same length as the number of columns in x. a data frame name-value pairs of variable labels (see examples) variable labels to be applied to the data.frame, using the same syntax as value in var_label(df) <- value. should an error be returned if some labels doesn't correspond to a column of x?

Value

set_variable_labels() will return an updated copy of .data.

Details

For data frames, if value is a named list, only elements whose name will match a column of the data frame will be taken into account. If value is a character vector, labels should in the same order as the columns of the data.frame.

Note

set_variable_labels() could be used with dplyr syntax.

Examples

var_label(iris$Sepal.Length) #> NULLvar_label(iris$Sepal.Length) <- 'Length of the sepal'
if (FALSE) {
View(iris)
}
# To remove a variable label
var_label(iris$Sepal.Length) <- NULL # To change several variable labels at once var_label(iris) <- c( "sepal length", "sepal width", "petal length", "petal width", "species" ) var_label(iris) #>$Sepal.Length
#> [1] "sepal length"
#>
#> $Sepal.Width #> [1] "sepal width" #> #>$Petal.Length
#> [1] "petal length"
#>
#> $Petal.Width #> [1] "petal width" #> #>$Species
#> [1] "species"
#> var_label(iris) <- list(
Petal.Width = "width of the petal",
Petal.Length = "length of the petal"
)
var_label(iris)
#> $Sepal.Length #> [1] "sepal length" #> #>$Sepal.Width
#> [1] "sepal width"
#>
#> $Petal.Length #> [1] "length of the petal" #> #>$Petal.Width
#> [1] "width of the petal"
#>
#> $Species #> [1] "species" #> var_label(iris, unlist = TRUE) #> Sepal.Length Sepal.Width Petal.Length #> "sepal length" "sepal width" "length of the petal" #> Petal.Width Species #> "width of the petal" "species" if (require(dplyr)) { # adding some variable labels df <- tibble(s1 = c("M", "M", "F"), s2 = c(1, 1, 2)) %>% set_variable_labels(s1 = "Sex", s2 = "Yes or No?") var_label(df) # removing a variable label df <- df %>% set_variable_labels(s2 = NULL) var_label(df$s2)

# Set labels from dictionary, e.g. as read from external file
# One description is missing, one has no match
description = tibble(
name = c(
"Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width",
"Something"),
label = c(
"Sepal length", "Sepal width",  "Petal length", "Petal width",
"something")
)
var_labels <- setNames(as.list(description$label), description$name)
iris_labelled <- iris %>%
set_variable_labels(.labels = var_labels, .strict = FALSE)
var_label(iris_labelled)

# defining variable labels derived from variable names
if (require(snakecase)) {
iris <- iris %>%
set_variable_labels(.labels = to_sentence_case(names(iris)))
var_label(iris)
}
}
#> Loading required package: snakecase#> $Sepal.Length #> [1] "Sepal length" #> #>$Sepal.Width
#> [1] "Sepal width"
#>
#> $Petal.Length #> [1] "Petal length" #> #>$Petal.Width
#> [1] "Petal width"
#>
#> \$Species
#> [1] "Species"
#>