glrtPvalue: GLRT Regression Results
In bingat: Binary Graph Analysis Tools

Description Usage Arguments Value Author(s) Examples

This function returns the p-value of the significance of b1 in the regression model.

1 2	glrtPvalue(dataList, type, groups, numPerms = 10, parallel = FALSE, cores = 3, data = NULL)

`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.

A list containing the p-value, tau, logliklihood value, glrt value, bob1, b0, b1 and the hamming errors.

Terrence Brooks, Berkley Shands, Skye Buckner-Petty, Patricio S. La Rosa, Elena Deych, William D. Shannon

	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
	
	res <- glrtPvalue(dataList, "adjMatrix", numPerms=numPerms) 
	res$pvalue