Perform permutation tests for the ROC Curve Based Model Creation and Evaluation module
Perform.Permut(mSetObj=NA, perf.measure, perm.num, propTraining = 2/3)
Input the name of the created mSetObj (see InitDataObjects)
Input the performance measure to rate the performance of the model, either the area under the ROC curve ("auroc") or the predictive accuracy ("accu")
Input the number of permutations to perform
Numeric, input the fraction of samples to set aside for training. Default is set to 2/3.