Remove variable label, value labels and user defined missing values
Use remove_var_label() to remove variable label, remove_val_labels()
to remove value labels, remove_user_na() to remove user defined missing values (na_values and na_range)
and remove_labels() to remove all.
remove_labels(x, user_na_to_na = FALSE, keep_var_label = FALSE) remove_var_label(x) remove_val_labels(x) remove_user_na(x, user_na_to_na = FALSE)
x |
A vector or a data frame. |
user_na_to_na |
Convert user defined missing values into |
keep_var_label |
Keep variable label? |
Be careful with remove_user_na() and remove_labels(), user defined missing values
will not be automatically converted to NA, except if you specify
user_na_to_na = TRUE.
user_na_to_na(x) is an equivalent of remove_user_na(x, user_na_to_na = TRUE).
If you prefer to convert variables with value labels into factors, use to_factor()
or use unlabelled().
x1 <- labelled_spss(1:10, c(Good = 1, Bad = 8), na_values = c(9, 10)) var_label(x1) <- "A variable" x1 x2 <- remove_labels(x1) x2 x3 <- remove_labels(x1, user_na_to_na = TRUE) x3 x4 <- remove_user_na(x1, user_na_to_na = TRUE) x4
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