splitMerged.auc.plot:
Determine the indices of the training and testing sets.
Description
Determine the indices of the training and testing sets prior to the plot of ROC curves.
Usage
splitMerged.auc.plot(geno.files, lst, i, j, col, method, time.dep)
Arguments
geno.files
A vector of character strings containing the names of the expression files.
lst
A list of two objects, (i) gene expression data and (ii) list of two vectors, survival time and censoring status. In the censoring status vector, 1 = event occurred, 0 = censored.
i
A vector of character strings containing the names of the expression files used for the training set.
j
A character string specifying the name of the expression file used as the testing set.
col
Color of ROC curve.
method
A character string specifying the feature selection method: "none" for top-100 ranking or one of the adjusting methods specified by the p.adjust function
time.dep
An integer 0 or 1, 1 to plot time-dependent ROC curves for different time points and 0 for no plot
Value
None.
Warning
This function is not called by the user directly.
Details
The p.adjust function in the R stats package is used and all adjusted p-values not greater than 0.05 are retained if method != "none".