DistMatrices {MantelCorr} | R Documentation |
'DistMatrices' uses 'dist' to compute dissimilarity matrices for 'data' and each cluster k from 'GetClusters'
DistMatrices(x.data, cluster.assignment)
x.data |
original 'data' matrix |
cluster.assignment |
cluster assignment vector, "clusters", returned by 'GetClusters' |
returns a list with two components:
Dsubsets |
dissimilarity matrices for each cluster k |
Dfull |
dissimilarity matrix for the original 'data' |
'GetClusters' should be executed prior to 'DistMatrices'
Brian Steinmeyer
'GetClusters'
# simulate a p x n microarray expression dataset, where p = genes and n = samples data.sep <- rbind(matrix(rnorm(1000), ncol=50), matrix(rnorm(1000, mean=5), ncol=50)) noise <- matrix(runif(40000), ncol=1000) data <- t(cbind(data.sep, noise)) data <- data[1:200, ] # data has p = 1,050 genes and n = 40 samples clusters.result <- GetClusters(data, 100, 100) dissimilarity.matrices <- DistMatrices(data, clusters.result$clusters)