plot.table.summary.cv.plsRmodel: Plot method for table of summary of cross validated plsR...

In plsRglm: Partial Least Squares Regression for Generalized Linear Models

Plot method for table of summary of cross validated plsR models

Description

This function provides a table method for the class "summary.cv.plsRmodel"

Usage

## S3 method for class 'table.summary.cv.plsRmodel'
plot(x, type = c("CVMC", "CVQ2", "CVPress"), ...)

Arguments

x	an object of the class "table.summary.cv.plsRmodel"
type	the type of cross validation criterion to plot.
...	further arguments to be passed to or from methods.

Value

NULL

Author(s)

Frédéric Bertrand
[e-mail]
https://fbertran.github.io/homepage/

References

Nicolas Meyer, Myriam Maumy-Bertrand et Frédéric Bertrand (2010). Comparing the linear and the logistic PLS regression with qualitative predictors: application to allelotyping data. Journal de la Societe Francaise de Statistique, 151(2), pages 1-18. http://publications-sfds.math.cnrs.fr/index.php/J-SFdS/article/view/47

See Also

summary

Examples

data(Cornell)
bbb <- cv.plsR(Y~.,data=Cornell,nt=6,K=6,NK=5, verbose=FALSE)
plot(cvtable(summary(bbb)),type="CVQ2")
rm(list=c("bbb"))


data(Cornell)
plot(cvtable(summary(cv.plsR(Y~.,data=Cornell,nt=6,K=6,NK=100, verbose=FALSE))),type="CVQ2")

plsRglm documentation built on March 31, 2023, 11:10 p.m.