generate.roc: Generate ROC curve data
In knnIndep: Independence tests and benchmarks

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

Generate data suitable for ROC curve plotting from the results of run.tests

1	generate.roc(vals, pval = TRUE)

`vals`	list, data structure as returned by `run.tests`
`pval`	boolean, whether the values in `vals` represent pvalues

calculates the power via calculate.power for all significance levels from 0 to 1.

array of values suitable for plotting via roc.plot

Sebastian Dümcke duemcke@mpipz.mpg.de

run.tests and roc.plot for plotting

noises <- cbind(lin=c(.1,.5,.8),circ=c(.2,.4,.6))
mycor <- function(...) cor(...)^2
results.cor <- run.tests(mycor,args=list(),types=c(1,7),noises=noises,nsim=100,size=50)
roc.data <- generate.roc(results.cor,pval=FALSE)
roc.plot(roc.data,legend=noises)