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makedummies  

Create Dummy Variables from Categorical Data
View on CRAN: Click here


Download and install makedummies package within the R console
Install from CRAN:
install.packages("makedummies")

Install from Github:
library("remotes")
install_github("cran/makedummies")

Install by package version:
library("remotes")
install_version("makedummies", "1.2.1")



Attach the package and use:
library("makedummies")
Maintained by
Toshiaki Ara
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-02
Latest Update: 2019-08-04
Description:
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.
How to cite:
Toshiaki Ara (2017). makedummies: Create Dummy Variables from Categorical Data. R package version 1.2.1, https://cran.r-project.org/web/packages/makedummies
Previous versions and publish date:
1.0 (2017-01-02 18:04), 1.1.1 (2018-06-23 07:44), 1.1.2 (2018-07-28 06:50), 1.1 (2018-04-06 09:23), 1.2.0 (2019-03-03 18:30)
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Some associated R codes: makedummies.R .  Full makedummies package functions and examples
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