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sjlabelled

Labelled Data Utility Functions

Collection of functions dealing with labelled data, like reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata', and working with labelled data. This includes easy ways to get, set or change value and variable label attributes, to convert labelled vectors into factors or numeric (and vice versa), or to deal with multiple declared missing values.

Functions (27)

Add, replace or remove value labels of variables

Convert variable into factor and keep value labels

Convert variable into factor with associated value labels

as_labelled

Convert vector to labelled class

Convert factors to numeric variables

convert_case

Generic case conversion for labels

copy_labels

Copy value and variable labels to (subsetted) data frames

efc

Sample dataset from the EUROFAMCARE project

Retrieve variable label(s) of labelled data

Retrieve value labels of labelled data

Retrieve tagged NA values of labelled variables

Retrieve values of labelled variables

is_labelled

Check whether object is of class "labelled"

label_to_colnames

Use variable labels as column names

Import data from other statistical software packages

remove_all_labels

Remove value and variable labels from vector or data frame

remove_label

Remove variable labels from variables

Add variable label(s) to variables

Add value labels to variables

Replace specific values in vector with NA

sjlabelled-package

Labelled Data Utility Functions

term_labels

Retrieve labels of model terms from regression models

tidy_labels

Repair value labels

Convert labelled vectors into normal classes

Write data to other statistical software packages

Drop, add or convert (non-)labelled values

zap_na_tags

Convert tagged NA values into regular NA

sjlabelled

Labelled Data Utility Functions

v1.1.8

GPL-3

Authors

Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), avid Ranzolin [ctb], Jonathan De Troye [ctb]

Initial release

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