plsRglm (version 1.5.1)

cvtable: 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, ...)

Value

listList of Information Criteria computed for each fold.

Arguments

x

an object of the class "summary.cv.plsRmodel"

verbose

should results be displayed ?

...

further arguments to be passed to or from methods.

Author

Frédéric Bertrand

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"))

# \donttest{
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"))
# }