plot.gofobject {ergm} | R Documentation |
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.
## S3 method for class 'gofobject' plot(x, ..., cex.axis=0.7, plotlogodds=FALSE, main = "Goodness-of-fit diagnostics", normalize.reachability=FALSE, verbose=FALSE)
x |
an object of class |
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. |
gof.ergm
produces a sample of networks randomly drawn from the specified model.
This function produces a plot of the summary measures.
none
gof.ergm, gof.formula, ergm, network, simulate.ergm
# 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), theta0=c(-1.6339, 0.0049))