cv.trans.psa: Transformation of Factors to Individual Levels
In multilevelPSA: Multilevel Propensity Score Analysis
Description
Usage
Arguments
Details
Author(s)
Description
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
1
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(s)
James E. Helmreich James.Helmreich@Marist.edu
Robert M. Pruzek RMPruzek@yahoo.com
KuangNan Xiong harryxkn@yahoo.com
Jason Bryer jason@bryer.org
multilevelPSA documentation built on May 1, 2019, 9:19 p.m.
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Description Usage Arguments Details Author(s)
Description
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
1 | 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 |
Details
NOTE: This function originated in the PSAgraphics package. It has been
adapted here for the multilevelPSA package.
Author(s)
James E. Helmreich James.Helmreich@Marist.edu
Robert M. Pruzek RMPruzek@yahoo.com
KuangNan Xiong harryxkn@yahoo.com
Jason Bryer jason@bryer.org
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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