makedummies: Create Dummy Variables from Categorical Data

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

Documentation:

Reference manual:

makedummies.pdf

Downloads:

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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