bingat (version 1.3)

testGoF: Test the Goodness of Fit

Description

This function tests the goodness of fit for given a set of graphs.

Usage

testGoF(data, type, numSims = 10, plot = TRUE, main)

Arguments

data

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).

numSims

Number of simulations for Monte Carlo estimation of p-value(ideally, 1000 or more). Ignored if Chi-Square method is used.

plot

A boolean to create a plot of the results or not.

main

A title for the plot.

Value

A list containing information about the goodness of fit and potentially a plot. The list contains the Pearson statistics, degrees of freedom, and p-value, the G statistics and p-value, the Chi Squared statistics and p-value and finally the table with the observed and expected counts.

Examples

	data(braingraphs)
	
	numSims <- 1 ### This is set low for speed
	braingof <- testGoF(braingraphs, "adjMatrix", numSims)