womta/PurifyR: A R Package for Highly Automated Reproducible Variable Extraction and Standardization
A set of functions that allows for fully automated preprocessing. I.e. managing unique and allowed variable names, feature selection, managing singularity, normality, scaling, missing data. In other words the preparation of data for further analysis e.g. explorative, descriptive or predictive analysis.
Getting started
Browse package contents
Package details |
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| Author | Wienand Omta |
| Maintainer | Wienand Omta <wienand@corelifeanalytics.com> |
| License | MIT |
| Version | 0.7 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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