Skip to contents

Transformation of Factors to Individual Levels

Source: R/cv.trans.psa.R
cv.trans.psa.Rd

The function cv.trans.psa takes a covariate data frame and replaces each categorical covariate of n >=3 levels with n new binary covariate columns, one for each level. Transforms covariate dataframe for use with the function cv.bal.psa.

Usage

cv.trans.psa(covariates, fcol = NULL)

Arguments

covariates

A dataframe of covariates, presumably some factors.

fcol

An optional vector containing the factor columns in the covariate data frame. In NULL (default) routine to identify factors internally.

Details

NOTE: This function originated in the PSAgraphics package. It has been adapted here for the multilevelPSA package.

Author

James E. Helmreich James.Helmreich@Marist.edu

Robert M. Pruzek RMPruzek@yahoo.com

KuangNan Xiong harryxkn@yahoo.com

Jason Bryer jason@bryer.org