Package: cat2cat 0.4.7

cat2cat: Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset

Unifying an inconsistently coded categorical variable between two different time points in accordance with a mapping table. The main rule is to replicate the observation if it could be assigned to a few categories. Then using frequencies or statistical methods to approximate the probabilities of being assigned to each of them. This procedure was invented and implemented in the paper by Nasinski, Majchrowska, and Broniatowska (2020) <doi:10.24425/cejeme.2020.134747>.

Authors:Maciej Nasinski [aut, cre]

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Bug tracker:https://github.com/polkas/cat2cat/issues

On CRAN:

categoriesencodingencodingsfactorlongitudinalmappingmappingspaneltransitions

11 exports 4 stars 1.34 score 1 dependencies 2 scripts 315 downloads

Last updated 8 months agofrom:6c4eb9f610. Checks:OK: 7. Indexed: yes.

Exports:cat_apply_freqcat2catcat2cat_aggcat2cat_ml_runcross_c2cdummy_c2cget_freqsget_mappingsplot_c2cprune_c2csummary_c2c

Dependencies:MASS