pathClass (version 0.9.4)

extractFeatures: Extracts features which have been choosen by the classifier(s).

Description

This function extracts the features which have been selected by the classifiers during the cross-validation along with the number of times they have been choosen. When, for example, performing a 5 times repeated 10-fold cross-validation the maximum number a feature can be choosen is 50.

Usage

extractFeatures(res, toFile = FALSE, fName = "ClassificationFeatures.csv")

Arguments

res

A result of crossval.

toFile

Should the results be printed into a CSV-file.

fName

the name of the file to save the results in.

Value

a data.frame indicating the number of times a feature has been choosen.

Examples

## Not run: 
# library(Biobase)
# data(sample.ExpressionSet)
# x <- t(exprs(sample.ExpressionSet))
# y <- factor(pData(sample.ExpressionSet)$sex)
# res.rfe <- crossval(x,y,DEBUG=TRUE,theta.fit=fit.rfe,folds=2,repeats=1,parallel=TRUE,Cs=10^(-3:3))
# extractFeatures(res.rfe, toFile=FALSE)
# ## End(Not run)