plot.qaptest | R Documentation |
Plots the Distribution of a QAP Test Statistic.
## S3 method for class 'qaptest' plot(x, mode="density", ...)
x |
A |
mode |
“density” for kernel density estimation, “hist” for histogram |
... |
Additional arguments to |
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.
None
Carter T. Butts buttsc@uci.edu
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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