plot.gofobject: Plot Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model

Description

plot.gofobject plots diagnostics such as the degree distribution, geodesic distances, shared partner distributions, and reachability for the goodness-of-fit of exponential family random graph models. See ergm for more information on these models.

Usage

## S3 method for class 'gofobject':
plot(x, \dots,
         cex.axis=0.7, plotlogodds=FALSE,
         main = "Goodness-of-fit diagnostics",
         normalize.reachability=FALSE,
         verbose=FALSE)

Arguments

an object of class gofobject, typically produced by the gof.ergm or gof.formula functions. See the documentation for

cex.axis

Character expansion of the axis labels relative to that for the plot.

plotlogodds

Plot the odds of a dyad having given characteristics (e.g., reachability, minimum geodesic distance, shared partners). This is an alternative to the probability of a dyad having the same property.

main

Title for the goodness-of-fit plots.

normalize.reachability

Should the reachability proportion be normalized to make it more comparable with the other geodesic distance proportions.

verbose

Provide verbose information on the progress of the plotting.

...

Additional arguments, to be passed to the plot function.

Value

none

Details

gof.ergm produces a sample of networks randomly drawn from the specified model. This function produces a plot of the summary measures.

Examples

Run this code

#
data(florentine)
#
# test the gof.ergm function
#
gest <- ergm(flomarriage ~ edges + kstar(2))
gest
summary(gest)

#
# Plot the probabilities first
#
gofflo <- gof(gest)
gofflo
plot(gofflo)
#
# And now the odds 
#
plot(gofflo, plotlogodds=TRUE)
#
# Use the formula version
#
gof(flomarriage ~ edges + kstar(2), coef=c(-1.6339, 0.0049))

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