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Plots the Distribution of a QAP Test Statistic.
# S3 method for qaptest
plot(x, mode="density", ...)None
A qaptest object
``density'' for kernel density estimation, ``hist'' for histogram
Additional arguments to plot
Carter T. Butts buttsc@uci.edu
In addition to the quantiles associated with a QAP test, it is often useful to examine the form of the distribution of the test statistic. plot.qaptest facilitates this.
Hubert, L.J., and Arabie, P. (1989). ``Combinatorial Data Analysis: Confirmatory Comparisons Between Sets of Matrices.'' Applied Stochastic Models and Data Analysis, 5, 273-325.
Krackhardt, D. (1987). ``QAP Partialling as a Test of Spuriousness.'' Social Networks, 9 171-186.
Krackhardt, D. (1988). ``Predicting With Networks: Nonparametric Multiple Regression Analyses of Dyadic Data.'' Social Networks, 10, 359-382.
qaptest
#Generate three graphs
g<-array(dim=c(3,10,10))
g[1,,]<-rgraph(10)
g[2,,]<-rgraph(10,tprob=g[1,,]*0.8)
g[3,,]<-1; g[3,1,2]<-0 #This is nearly a clique
#Perform qap tests of graph correlation
q.12<-qaptest(g,gcor,g1=1,g2=2)
q.13<-qaptest(g,gcor,g1=1,g2=3)
#Examine the results
summary(q.12)
plot(q.12)
summary(q.13)
plot(q.13)
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