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

1
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

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".

Value

None.

Warning

This function is not called by the user directly.

Author(s)

Haleh Yasrebi

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