R: Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset

# Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset

## Documentation for package ‘cat2cat’ version 0.4.7

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

cat2cat | Automatic mapping in a panel dataset
cat2cat_agg | Manual mapping for an aggregated panel dataset
cat2cat_ml_run | Function to check cat2cat ml models performance
cat_apply_freq | Applying frequencies to the object returned by the 'get_mappings' function
cross_c2c | Make a combination of weights from different methods
dummy_c2c | Add default cat2cat columns to a 'data.frame'
get_freqs | Getting frequencies from a vector with an optional multiplier
get_mappings | Transforming a mapping (transition) table to two associative lists
occup | Occupational dataset
occup_small | Occupational dataset - small one
plot_c2c | Summary plots for cat2cat results
print.cat2cat_ml_run | Function to check cat2cat ml models performance
prune_c2c | Pruning which could be useful after the mapping process
summary_c2c | Adjusted summary for linear regression when based on replicated dataset
trans | trans dataset containing mappings (transitions) between old (2008) and new (2010) occupational codes. This table could be used to map encodings in both directions.
verticals | verticals dataset
verticals2 | verticals2 dataset