zeroOrHundred: Zero or Hundred Matrix

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

Description

Creates the zero or hundred dataset.

Arguments

overlap	The desired numerical overlap to be generated. Can be either 0 or 100.
dim	The number of desired spatial dimensions for each groups points to occupy.
reps	The number of times a dataset for a specific number of points should be generated.
p	The interval of points per group for which datasets should be generated.
verbose	Logical indicating if the program should report status updates.
save	Logical indicating if the output should be saved to the data folder of the current directory.

Details

Creates one of two datasets; one where the 2 groups have 0 percent overlap with each other or one where the two groups have 100 percent overlap with each other. 0 percent, in this context, is defined as no datapoints from one group occupy the same space as the points of the other group. 100 percent overlap is defined as one group completley containing the other group within the space that it occupies. For ClusterSignificance testing this function was run with the default paramaters for overlaps 0 and 100.

Author(s)

Jason Serviss

Examples

zeroOrHundred(overlap=0, reps=2, p=5:6, save=FALSE)

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