R Under development (unstable) (2024-04-27 r86487 ucrt) -- "Unsuffered Consequences"
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> library(ClassDiscovery)
Loading required package: cluster
Loading required package: oompaBase
> suppressWarnings( RNGversion("3.5.3") )
> set.seed(320085)
> # simulate data from two different classes
> d1 <- matrix(rnorm(100*30, rnorm(100, 0.5)), nrow=100, ncol=30, byrow=FALSE)
> d2 <- matrix(rnorm(100*20, rnorm(100, 0.5)), nrow=100, ncol=20, byrow=FALSE)
> dd <- cbind(d1, d2)
> 
> # cluster the data
> hc <- hclust(distanceMatrix(dd, 'pearson'), method='average')
> 
> # make a fake reproducibility matrix
> fraud <- function(x) {
+   new('ClusterTest', result=abs(cor(x)), call=match.call())
+ }
> 
> fake <- fraud(dd)
> summary(fake)
A ClusterTest object.

Call:
	 fraud(x = dd) 

Agreement levels:
     Min.   1st Qu.    Median      Mean   3rd Qu.      Max. 
0.0000367 0.0643374 0.3528907 0.2975618 0.5153581 0.6697706 
> 
> hist(fake)
> 
> image(fake) # let heatmap compute a new dendrogram from the agreements
> 
> image(fake, dendrogram=hc) # use the actual dendrogram from the data
> 
> image(fake, dendrogram=hc, col=blueyellow(64)) # change the colors
> 
> #cleanup
> rm(fake, fraud, hc, dd, d1, d2)
> 
> proc.time()
   user  system elapsed 
   0.35    0.12    0.43