splitMerged.auc.plot: Determine the indices of the training and testing sets.

Description Usage Arguments Details Value Warning Author(s)

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



Search within the survJamda package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.