plot.lplsReg.dcv: Double-CV plot

In therimalaya/lplsReg: Package for lpls regression and classification

Description

Plot function summarizing some results from double-crossvalidation of lpls-regression/classification.

Usage

## S3 method for class 'lplsReg.dcv'
plot(object, identifyVariable = FALSE)

Arguments

object	A double-Cv object as returned from lplsReg.dcv
identifyVariable	Logical. Should interactive variable identification be activated?

Details

The first plot is a plot of posterior probability of class membership for each sample plotted versus sample number. For g-group classification, there will be g dots per sample, and the largest dot indicates the predicted class/group. The second plot is a plot of the frequency of each variable being selected by jack-knifing in each of the cross-validation segments. High selection frequency may be considered as a measure of variable importance and stability.

Author(s)

Solve Sæbø

therimalaya/lplsReg documentation built on May 14, 2019, 8:36 a.m.