sensitivityTest: Sensitivity test

In GranderLab/ClusterSignificanceExtras: A package allowing re-creation of all figures in the publication associated with the ClusterSignificance package

Description

This function performs the sensitivity test. This test is designed to determine the true positive rate of the Pcp and Mlp methods. To do this we utilize the zero dataset which was derived using the zeroOrHundred function with argument overlap=0. The dataset includes matrices where the groups overlap is 0 anticipate that significant seperations should be found with Pcp or Mlp for all matrices. For each matrice, the permute function is run, using both the Pcp and Mlp methods afterwhich, the resulting pvalue is recorded.

Arguments

interval	The interval of points amounts that should be tested. i.e. 1 tests points amounts 1:100, 10 tests seq(1, 100, 10), etc.
iterations	The number of iterations for each call to permute.
cores	The number of cores the test should be parallalized with.
save	Should the output be saved?
verbose	Should the function be verbose?
outPath	The location the file should be saved to if save=TRUE.

Author(s)

Jason Serviss

Examples

## Not run: sensitivityTest(interval=50, iterations=1, cores=1, save=FALSE)

GranderLab/ClusterSignificanceExtras documentation built on May 6, 2019, 6:30 p.m.