| testGoF {bingat} | R Documentation |
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.
Author(s)
Terrence Brooks, Berkley Shands, Skye Buckner-Petty, Patricio S. La Rosa, Elena Deych, William D. Shannon
Examples
data(braingraphs)
numSims <- 1 ### This is set low for speed
braingof <- testGoF(braingraphs, "adjMatrix", numSims)