corkscrew: Preprocessor for Data Modeling

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Includes binning categorical variables into lesser number of categories based on t-test, converting categorical variables into continuous features using the mean of the response variable for the respective categories, understanding the relationship between the response variable and predictor variables using data transformations.

Author
Navin Loganathan [aut], Mohan Manivannan [aut], Santhosh Sasanapuri [aut, cre], LatentView Analytics [ctb]
Date of publication
2015-10-31 00:56:46
Maintainer
Santhosh Sasanapuri <santhosh458@gmail.com>
License
GPL (>= 2)
Version
1.1

View on CRAN

Man pages

apply.ctoc
Applying Categorical to Continuous conversion to a new...
apply.tbin
Extrapolate t-test based binning to a new data
corkscrew-package
Preprocessor for Data Modeling
ctoc
Categorical variables into Continuous features
tbin
t-test based binning
transformation
Relationship between the response variables and predictors

Files in this package

corkscrew
corkscrew/NAMESPACE
corkscrew/R
corkscrew/R/apply.tbin.R
corkscrew/R/ctoc.R
corkscrew/R/transformation.R
corkscrew/R/tbin.R
corkscrew/R/apply.ctoc.R
corkscrew/MD5
corkscrew/DESCRIPTION
corkscrew/man
corkscrew/man/ctoc.Rd
corkscrew/man/tbin.Rd
corkscrew/man/apply.tbin.Rd
corkscrew/man/corkscrew-package.Rd
corkscrew/man/apply.ctoc.Rd
corkscrew/man/transformation.Rd