View source: R/override_functions.R
labels.data.frame | R Documentation |
The labels
function extracts all assigned labels from a
data frame, and returns them in a named list. The function also
assigns labels from a named list. This function is a data frame-specific
implementation of the Base R labels
function.
## S3 method for class 'data.frame'
labels(object, ...)
labels(x) <- value
object |
A data frame or tibble. |
... |
Follow-on parameters. Required for generic function. |
x |
A data frame or tibble |
value |
A named list of labels. The labels must be quoted strings. |
If labels are assigned to the "label" attributes of the data frame
columns, the labels
function will extract those labels. The
function will return the labels in a named list, where the names
correspond to the name of the column that the label was assigned to.
If a column does not have a label attribute assigned, that column
will not be included in the list.
When used on the receiving side of an assignment, the function will assign labels to a data frame. The labels should be in a named list, where each name corresponds to the data frame column to assign the label to.
Finally, if you wish to clear out the label attributes, assign
a NULL value to the labels
function.
A named list of labels. The labels must be quoted strings.
Other overrides:
copy.attributes()
,
sort.data.frame()
# Take subset of data
df1 <- mtcars[1:10, c("mpg", "cyl")]
# Assign labels
labels(df1) <- list(mpg = "Mile Per Gallon", cyl = "Cylinders")
# Examine attributes
str(df1)
# 'data.frame': 10 obs. of 2 variables:
# $ mpg: num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2
# ..- attr(*, "label")= chr "Mile Per Gallon"
# $ cyl: num 6 6 4 6 8 6 8 4 4 6
# ..- attr(*, "label")= chr "Cylinders"
# View assigned labels
labels(df1)
# $mpg
# [1] "Mile Per Gallon"
#
# $cyl
# [1] "Cylinders"
# Clear labels
labels(df1) <- NULL
# Display Cleared Labels
labels(df1)
# list()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.