## S3 method for class 'gofit'plot( x, y, type = c("line","box"), scaling = c("none","std","sqrt"), lineAlpha =0.06, lineSize =1,...)
Arguments
x: the gofit object
y: unused
type: type of plot, boxplot or lineplot
scaling: type of scaling of the network statistics. If "std", network statistics are scaling by subtracting off the observed statistics and scaling by the standard deviation. If "sqrt", network statistics are plotted on the square root scale (The square root is the variance stabilizing transformation for a Poisson random variable). The default is "none", where by the network statistics are not scaled.
lineAlpha: The transparency of the simulated statistics lines
lineSize: The width of the lines
...: passed to either boxplot or geom_line
Examples
library(network)data(ukFaculty)# Delete vertices missing groupdelete.vertices(ukFaculty, which(is.na(ukFaculty %v%"Group")))# A dyad independent modelfitind <- lolog(ukFaculty ~ edges()+ nodeMatch("GroupC")+ nodeCov("GroupC"))summary(fitind)# Check gof on degree distribution (bad!)gind <- gofit(fitind, ukFaculty ~ degree(0:50))plot(gind)plot(gind, type="box")