Create dummy variables from categorical data. This package can convert categorical data (factor and ordered) into dummy variables and handle multiple columns simultaneously. This package enables to select whether a dummy variable for base group is included (for principal component analysis/factor analysis) or excluded (for regression analysis) by an option. 'makedummies' function accepts 'data.frame', 'matrix', and 'tbl' (tibble) class (by 'tibble' package). 'matrix' class data is automatically converted to 'data.frame' class.
| Version: | 1.2.1 |
| Imports: | tibble |
| Published: | 2019-08-04 |
| DOI: | 10.32614/CRAN.package.makedummies |
| Author: | Toshiaki Ara [aut, cre] |
| Maintainer: | Toshiaki Ara <toshiaki.ara at gmail.com> |
| BugReports: | https://github.com/toshi-ara/makedummies/issues/ |
| License: | GPL-2 |
| URL: | https://github.com/toshi-ara/makedummies |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | makedummies results |
| Reference manual: | makedummies.html , makedummies.pdf |
| Package source: | makedummies_1.2.1.tar.gz |
| Windows binaries: | r-devel: makedummies_1.2.1.zip, r-release: makedummies_1.2.1.zip, r-oldrel: makedummies_1.2.1.zip |
| macOS binaries: | r-release (arm64): makedummies_1.2.1.tgz, r-oldrel (arm64): makedummies_1.2.1.tgz, r-release (x86_64): makedummies_1.2.1.tgz, r-oldrel (x86_64): makedummies_1.2.1.tgz |
| Old sources: | makedummies archive |
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