cvtable: Table method for summary of cross validated PLSR and PLSGLR...

In plsRglm: Partial Least Squares Regression for Generalized Linear Models

Table method for summary of cross validated PLSR and PLSGLR models

Description

The function cvtable is wrapper of cvtable.plsR and cvtable.plsRglm that provides a table summary for the classes "summary.cv.plsRmodel" and "summary.cv.plsRglmmodel"

Usage

cvtable(x, verbose = TRUE, ...)

Arguments

x	an object of the class "summary.cv.plsRmodel"
verbose	should results be displayed ?
...	further arguments to be passed to or from methods.

Value

listList of Information Criteria computed for each fold.

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)
cv.modpls <- cv.plsR(Y~.,data=Cornell,nt=6,K=6,NK=5)
res.cv.modpls <- cvtable(summary(cv.modpls))
plot(res.cv.modpls) #defaults to type="CVQ2"
rm(list=c("cv.modpls","res.cv.modpls"))


data(Cornell)
cv.modpls <- cv.plsR(Y~.,data=Cornell,nt=6,K=6,NK=25,verbose=FALSE)
res.cv.modpls <- cvtable(summary(cv.modpls))
plot(res.cv.modpls) #defaults to type="CVQ2"
rm(list=c("cv.modpls","res.cv.modpls"))
	
data(Cornell)
cv.modpls <- cv.plsR(Y~.,data=Cornell,nt=6,K=6,NK=100,verbose=FALSE)
res.cv.modpls <- cvtable(summary(cv.modpls))
plot(res.cv.modpls) #defaults to type="CVQ2"
rm(list=c("cv.modpls","res.cv.modpls"))

data(Cornell)
cv.modplsglm <- cv.plsRglm(Y~.,data=Cornell,nt=6,K=6,
modele="pls-glm-gaussian",NK=100,verbose=FALSE)
res.cv.modplsglm <- cvtable(summary(cv.modplsglm))
plot(res.cv.modplsglm) #defaults to type="CVQ2Chi2"
rm(list=c("res.cv.modplsglm"))

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