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.
- Version0.4.7
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- LicenseLICENSE
- Needs compilation?No
- cat2cat citation info
- Last release01/22/2024
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Maciej Nasinski
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Last 30 days
This package has been downloaded 399 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
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Last 365 days
This package has been downloaded 3,930 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 45 downloads.
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- Imports1 package
- Suggests9 packages