plot.table.summary.cv.plsRglmmodel: Plot method for table of summary of cross validated plsRglm...

Description Usage Arguments Value Author(s) References See Also Examples

Description

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

Usage

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## S3 method for class 'table.summary.cv.plsRglmmodel'
plot(x, type=c("CVMC","CVQ2Chi2","CVPreChi2"), ...)

Arguments

x

an object of the class "table.summary.cv.plsRglmmodel"

type

the type of cross validation criterion to plot.

...

further arguments to be passed to or from methods.

Value

NULL

Author(s)

Frederic Bertrand
[email protected]
http://www-irma.u-strasbg.fr/~fbertran/

References

Nicolas Meyer, Myriam Maumy-Bertrand et Frederic 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

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data(Cornell)
bbb <- cv.plsRglm(Y~.,data=Cornell,nt=10,NK=1,
modele="pls-glm-family",family=gaussian(), verbose=FALSE)
plot(cvtable(summary(bbb,verbose=FALSE)),type="CVQ2Chi2")
rm(list=c("bbb"))


data(Cornell)
plot(cvtable(summary(cv.plsRglm(Y~.,data=Cornell,nt=10,NK=100,
modele="pls-glm-family",family=gaussian(), verbose=FALSE),
verbose=FALSE)),type="CVQ2Chi2")

fbertran/plsRglm documentation built on May 16, 2019, 9:16 a.m.