plot.qaptest {sna} | R Documentation

## Plotting for qaptest Objects

### Description

Plots the Distribution of a QAP Test Statistic.

### Usage

    plot.qaptest(x, mode="density", ...)

### Arguments

`x` | A `qaptest` object
`mode` | ``density'' for kernel density estimation, ``hist'' for histogram
`...` | Additional arguments to `plot`

### Details

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.

### Value

None

### Author(s)

Carter T. Butts buttsc@uci.edu

### References

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.

### See Also

`qaptest`

### Examples

    #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)

[Package sna version 1.1 Index]