mulgar (version 1.0.5)

hierfly: Generate a dendrogram to be added to data

Description

Supplements a data set with information needed to draw a dendrogram. Intermediate cluster nodes are added as needed, and positioned at the centroid of the combined clusters. Note that categorical variables need to be factors.

Usage

hierfly(data, h = NULL, metric = "euclidean", method = "ward.D2", scale = TRUE)

Value

list with data and edges and segments

Arguments

data

data set

h

an hclust object

metric

distance metric to use, see dist for list of possibilities

method

cluster distance measure to use, see hclust for details

scale

logical value whether to scale data or not, default TRUE

Examples

data(clusters)
cl_dist <- dist(clusters[,1:5])
cl_hw <- hclust(cl_dist, method="ward.D2")
require(ggdendro)
ggdendrogram(cl_hw, type = "triangle", labels = FALSE)
clusters$clw <- factor(cutree(cl_hw, 3))
cl_hfly <- hierfly(clusters, cl_hw, scale=FALSE)
if (interactive()) {
  require(tourr)
  glyphs <- c(16, 46)
  pch <- glyphs[cl_hfly$data$node+1]
  require(colorspace)
  clrs <- heat_hcl(length(unique(cl_hfly$data$clw)))
  pcol <- clrs[cl_hfly$data$clw]
  ecol <- clrs[cl_hfly$data$clw[cl_hfly$edges[,1]]]
  animate_xy(cl_hfly$data[,1:5], edges=cl_hfly$edges,
    col=pcol, pch=pch, edges.col=ecol,
    axes="bottomleft")
}