Copy variable and value labels and SPSS-style missing value
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.
copy_labels(from, to, .strict = TRUE) copy_labels_from(to, from, .strict = TRUE)
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 |
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.
library(dplyr)
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)
fdf <- df %>% filter(id < 3)
var_label(fdf) # some variable labels have been lost
fdf <- fdf %>% copy_labels_from(df)
var_label(fdf)
# Alternative syntax
fdf <- subset(df, id < 3)
fdf <- copy_labels(from = df, to = fdf)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.