News

labelled 2.2.0

• new function copy_labels_from(), compliant with dplyr syntax
• update_labelled() is now more strict (#42 by @iago-pssjd)
• new functions look_for() and lookfor() imported from questionr (#44)
• new unlist option for var_label()
• tagged_na() and similar functions are now imported from haven

labelled 2.1.0

• var_label(), applied to a data.frame, now accepts a character vector of same length as the number of columns.
• set_variable_labels has a new .labels argument.
• New unclass option in to_factor(), to be used when strict = TRUE (#36)
• Following haven version 2.1.0, it is not mandatory anymore to define a value label before defining a SPSS style missing value. labelled_spss(), na_values() and na_range() have been updated accordingly (#37)

labelled 2.0.2

• to_factor() bug fix then applied on a data.frame (#33)

labelled 2.0.1

• update_labelled() bug fix then applied on a data.frame (#31)

labelled 2.0.0

BREAKING CHANGE

• Following version 2.0.0 of haven, labelled() and labelled_spss() now produce objects with class "haven_labelled" and "haven_labelled_spss", due to conflict between the previous "labelled" class and the "labelled" class used by Hmisc.
• A new function update_labelled() could be used to convert data imported with an older version of haven to the new classes.

Other changes

• user_na_to_na option added to to_factor()
• foreign_to_labelled() now import SPSS missing values (#27)
• a strict argument added to to_factor() (#25)
• remove_attributes() preserve character vectors (#30)

labelled 1.1.0

• extend dplyr::recode() method to be compatible with labelled vectors.
• copy_labels() now copy also na_range and na_values attributes.
• new method remove_attributes()

labelled 1.0.1

• bug fix: argument drop_unused_labels could now be used with to_factor.data.frame()
• new labels argument for to_labelled() method when applied to a factor
• bug fix: appropriate column names with data.frame (#20)

labelled 1.0.0

• now imports haven
• new function to deal with user defined missing values (SPSS style): na_values(), na_range(), set_na_values(), set_na_values(), remove_user_na(), user_na_to_na().
• remove_labels() has been updated.

labelled 0.2.3

• new functions set_variable_labels(), set_value_labels(), add_value_labels() and remove_value_labels() compatible with %>%.
• new functions remove_val_labels and remove_var_label().
• bug fix in to_character.labelled() when applied to data frames.

labelled 0.2.2

• to_factor(), to_character() and to_labelled.factor() now preserves variable label.
• bug fix in to_factor() when applied to data frames.

labelled 0.2.0

• Following evolution of haven, labelled deosn't support missing values anymore (cf. https://github.com/hadley/haven/commit/4b12ff9d51ddb9e7486966b85e0bcff44992904d)
• New function to_character() (cf. https://github.com/larmarange/labelled/commit/3d32852587bb707d06627e56407eed1c9d5a49de)
• to_factor() could now be applied to a data.frame (cf. https://github.com/larmarange/labelled/commit/ce1d750681fe0c9bcd767cb83a8d72ed4c5fc5fb)
• If data.table is available, labelled attribute are now changed by reference (cf. https://github.com/larmarange/labelled/commit/c8b163f706122844d798e6625779e8a65e5bbf41)
• zap_labels() added as a synonym of remove_labels()

Reference manual