This function copies variable and value labels (including missing values) from one vector to another or from one data frame to another data frame. For data frame, labels are copied according to variable names, and only if variables are the same type in both data frames.
Arguments
- from
A vector or a data.frame (or tibble) to copy labels from.
- to
A vector or data.frame (or tibble) to copy labels to.
- .strict
When
from
is a labelled vector,to
have to be of the same type (numeric or character) in order to copy value labels and SPSS-style missing values. If this is not the case and.strict = TRUE
, an error will be produced. If.strict = FALSE
, only variable label will be copied.
Details
Some base R functions like base::subset()
drop variable and
value labels attached to a variable. copy_labels
could be used
to restore these attributes.
copy_labels_from
is intended to be used with dplyr syntax,
see examples.
Examples
library(dplyr)
#>
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#>
#> filter, lag
#> The following objects are masked from ‘package:base’:
#>
#> intersect, setdiff, setequal, union
df <- tibble(
id = 1:3,
happy = factor(c("yes", "no", "yes")),
gender = labelled(c(1, 1, 2), c(female = 1, male = 2))
) %>%
set_variable_labels(
id = "Individual ID",
happy = "Are you happy?",
gender = "Gender of respondent"
)
var_label(df)
#> $id
#> [1] "Individual ID"
#>
#> $happy
#> [1] "Are you happy?"
#>
#> $gender
#> [1] "Gender of respondent"
#>
fdf <- df %>% filter(id < 3)
var_label(fdf) # some variable labels have been lost
#> $id
#> [1] "Individual ID"
#>
#> $happy
#> [1] "Are you happy?"
#>
#> $gender
#> [1] "Gender of respondent"
#>
fdf <- fdf %>% copy_labels_from(df)
var_label(fdf)
#> $id
#> [1] "Individual ID"
#>
#> $happy
#> [1] "Are you happy?"
#>
#> $gender
#> [1] "Gender of respondent"
#>
# Alternative syntax
fdf <- subset(df, id < 3)
fdf <- copy_labels(from = df, to = fdf)