bootsPLS (version 1.1.2)

plot.variable.selection: Plot the results of the testing procedure to determine the number of variables to select

Description

Plot the results of the testing procedure to determine the number of variables to select on each component

Usage

# S3 method for variable.selection
plot(x,pch,col,type,lty,...)

Arguments

x

Object of class "variable.selection".

pch

A vector of length ncomp (argument of bootsPLS). See par for details.

col

A vector of length ncomp (argument of bootsPLS). See par for details.

type

A vector of length ncomp (argument of bootsPLS). See par for details.

lty

A vector of length ncomp (argument of bootsPLS). See par for details.

…

not used

Details

This function plots the p-value of the one sided t-test with respect to the frequency of each variable. See variable.selection and the reference below for more details on the multiple testing procedure.

References

Rohart et al. (2016). A Molecular Classification of Human Mesenchymal Stromal Cells. PeerJ, DOI 10.7717/peerj.1845

See Also

bootsPLS, variable.selection

Examples

# NOT RUN {
data(MSC)
X=MSC$X
Y=MSC$Y


boot=bootsPLS(X=X,Y=Y,ncomp=3,many=5,kCV=5)
out=variable.selection(boot,ncomp=2,limit=c(40,40))
plot(out)


# }