Cluster.R
From Organic Design wiki
clusterPlot <- function(x, rowNames = NULL, dmethod = "euclidian", hmethod="complete", ...) {
oldpar <- par(mfrow=c(2,1))
if(is.character(rowNames) & (length(rowNames) == nrow(x))) { rownames(x) <- rowNames } xDist <- dist(x, method=dmethod)
- 1) Tree dendrogram
xClust <- hclust(xDist, method=hmethod) plclust(xClust, sub="")
- 2) Image plot...
image(x = 1:nrow(x), y = 1:ncol(x), z = x[xClust$order, ], col=heat.colors(nrow(x)), ...) par(oldpar) invisible()
}
- Test
x <- matrix(rnorm(40), nc=4) colnames(x) <- LETTERS[1:4] rownames(x) <- letters[1:10] clusterPlot(x) clusterPlot(x, rowNames = LETTERS[1:10])