genLogRegData: Generate data for logistic regression
In probs: Elementary Probability on Finite Sample Spaces
genLogRegData R Documentation
Generate data for logistic regression
Description
This function generates data ready for a logistic regression model.
Usage
genLogRegData(xdata, beta = rep(1, ncol(xdata)), yname = "y")
Arguments
xdata
the model matrix
beta
vector of parameters to multiply the model matrix
yname
the name for the generated y values
Details
This function generates data ready for a logistic regression model.
Value
A data frame with the model matrix and the generated y values added.
Author(s)
G. Jay Kerns
probs documentation built on June 22, 2024, 10:41 a.m.
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| genLogRegData | R Documentation |
Generate data for logistic regression
Description
This function generates data ready for a logistic regression model.
Usage
genLogRegData(xdata, beta = rep(1, ncol(xdata)), yname = "y")
Arguments
xdata |
the model matrix |
beta |
vector of parameters to multiply the model matrix |
yname |
the name for the generated y values |
Details
This function generates data ready for a logistic regression model.
Value
A data frame with the model matrix and the generated y values added.
Author(s)
G. Jay Kerns
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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