Computes a dissimilarity matrix between columns (samples or groups) using
vegan::vegdist() on t(mat), clusters with stats::hclust(),
and returns a dendrogram with an optional hang.
Arguments
- mat
Numeric matrix with taxa/ASVs as rows and units-to-cluster as columns (samples or groups). Columns will be clustered.
- distance_method
Distance method passed to
vegan::vegdist()(default:"bray").- cluster_method
Linkage method passed to
stats::hclust()(default:"ward.D2").- hang
Numeric hang parameter passed to
dendextend::hang.dendrogram()(default: -1).
Value
A list with:
- dendrogram
A
dendrogramobject.- order
Character vector of leaf labels in plotting order.
- hc
The
hclustobject.- dist
The
distobject fromvegan::vegdist.
Examples
if (requireNamespace("vegan", quietly = TRUE) &&
requireNamespace("dendextend", quietly = TRUE)) {
mat <- matrix(runif(20), nrow = 5)
colnames(mat) <- c("G1", "G2", "G3", "G4")
res <- build_dendrogram(mat)
res$order
}
#> Registered S3 method overwritten by 'dendextend':
#> method from
#> rev.hclust vegan
#> [1] "G1" "G3" "G2" "G4"