plot.pathClassResult: Prints the result of one or more cross-validation run(s)
In pathClass: Classification using biological pathways as prior knowledge

Description Usage Arguments Author(s) Examples

This function creates boxplots of the distribution of AUC for each reapeat of the cross-validation. In a second plot the ROC curve of the AUCs is shown. If your result contains more than one cross-validation result these are plotted one after the other.

  ## S3 method for class 'pathClassResult'
plot(x, label = "", toFile = TRUE,
    fname = "Result", switchLabels = FALSE,
    avg = "horizontal", spread.estimate = "boxplot", ...)

`x`	A result of `crossval`.
`label`	the main label of the plots.
`toFile`	Should the results plotted into PDF file(s). If your result contains more than one cross-validation one PDF file is created for each result.
`fname`	the name of the file to save the results in.
`switchLabels`	If your AUC is below 0.5 you can switch the labels to get an AUC above 0.5.
`avg`	the method for averaging the AUCs of several repeats. See `'performance'` for more information.
`spread.estimate`	method to show the variation around the average of the ROC curve. See `'performance'` for more information.
`...`	currently ignored.

Marc Johannes JohannesMarc@gmail.com

## 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))
plot(res.rfe, toFile=FALSE)

## End(Not run)