Learn R Programming

metaX (version 1.4.0)

myCalcAUROC: Classical univariate ROC analysis

Description

Classical univariate ROC analysis

Usage

myCalcAUROC(para, cgroup, cpu = 0, plot = FALSE, ...)

Arguments

para
A metaXpara object
cgroup
Samples used
cpu
The number of CPU used
plot
A logical indicates whether plot
...
Additional parameter

Value

A metaXpara object

Examples

Run this code
## Not run: 
# para <- new("metaXpara")
# pfile <- system.file("extdata/MTBLS79.txt",package = "metaX")
# sfile <- system.file("extdata/MTBLS79_sampleList.txt",package = "metaX")
# rawPeaks(para) <- read.delim(pfile,check.names = FALSE)
# sampleListFile(para) <- sfile
# para <- reSetPeaksData(para)
# para <- missingValueImpute(para)
# addValueNorm(para) <- para
# res <- myCalcAUROC(para,cgroup=c("S","C"))
# ## End(Not run)

Run the code above in your browser using DataLab