pairedPvalue {bingat}

P-Value for Paired Data Results

Description

This function returns the p-value of the significance of the difference in g-star values for paired data.

Usage

	pairedPvalue(dataList, type, groups, numPerms = 10, parallel = FALSE, 
		cores = 3, data = NULL)

Arguments

dataList

A list where each element is a data frame in which the columns (subjects) contain a 0/1 value for row (Node or Edge).

type

The type of graph being used (adjmatrix or adjmatrixlt).

groups

Deprecated. Each data set should be an element in dataList.

numPerms

Number of permutations. In practice this should be at least 1,000.

parallel

TRUE or FALSE depending on whether the analysis will be parallelized for speed.

cores

The number of cores to use for parallelization. Ignored if parallel = FALSE.

data

Deprecated. Replaced with dataList for clarity.

Value

The p-value for the difference between the two groups being tested.

Author(s)

Berkley Shands, Elena Deych, William D. Shannon

Examples

	data(braingraphs)
	
	### Break our data into two groups
	dataList <- list(braingraphs[,1:19], braingraphs[,20:38])
	
	### We use 1 for speed, should be at least 1,000
	numPerms <- 1
	
	pval <- pairedPvalue(dataList, "adjMatrix", numPerms=numPerms) 
	pval