Labelled Data Utility Functions
Add, replace or remove value labels of variables
Convert variable into factor and keep value labels
Convert variable into factor with associated value labels
Convert vector to labelled class
Convert factors to numeric variables
Generic case conversion for labels
Copy value and variable labels to (subsetted) data frames
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
Check whether object is of class "labelled"
Use variable labels as column names
Import data from other statistical software packages
Remove value and variable labels from vector or data frame
Remove variable labels from variables
Add variable label(s) to variables
Add value labels to variables
Replace specific values in vector with NA
Labelled Data Utility Functions
Retrieve labels of model terms from regression models
Repair value labels
Convert labelled vectors into normal classes
Write data to other statistical software packages
Drop, add or convert (non-)labelled values
Convert tagged NA values into regular NA
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.
Useful links