dendextend (version 1.14.0)

color_labels: Color dend's labels according to sub-clusters

Description

This function is for dendrogram and hclust objects. This function colors tree's labels.

The groups will be defined by a call to cutree using the k or h parameters.

If col is a color vector with a different length than the number of clusters (k) - then a recycled color vector will be used.

Usage

color_labels(
  dend,
  k = NULL,
  h = NULL,
  labels,
  col,
  warn = dendextend_options("warn"),
  ...
)

Arguments

dend

A dendrogram or hclust tree object

k

number of groups (passed to cutree)

h

height at which to cut tree (passed to cutree)

labels

character vecotor. If not missing, it overrides k and h, and simply colors these labels in the tree based on "col" parameter.

col

Function or vector of Colors. By default it tries to use rainbow_hcl from the colorspace package. (with parameters c=90 and l=50). If colorspace is not available, It will fall back on the rainbow function.

warn

logical (default from dendextend_options("warn") is FALSE). Set if warning are to be issued, it is safer to keep this at TRUE, but for keeping the noise down, the default is FALSE. (in case h/k/labels are not supplied, or if col is too short)

...

ignored.

Value

a tree object of class dendrogram.

See Also

cutree,dendrogram, hclust, labels_colors, color_branches, assign_values_to_leaves_edgePar

Examples

Run this code
# NOT RUN {
# }
# NOT RUN {
hc <- hclust(dist(USArrests), "ave")
dend <- as.dendrogram(hc)
dend <- color_labels(dend, 5, col = c(3, 1, 1, 4, 1))
dend <- color_branches(dend, 5, col = c(3, 1, 1, 4, 1))
plot(dend) # selective coloring of branches AND labels :)

# coloring some labels, based on label names:
dend <- color_labels(dend, col = "red", labels = labels(dend)[c(4, 16)])
plot(dend) # selective coloring of branches AND labels :)

d5 <- color_branches(dend, 5)
plot(d5)
d5g <- color_branches(dend, 5, groupLabels = TRUE)
plot(d5g)
d5gr <- color_branches(dend, 5, groupLabels = as.roman)
plot(d5gr)
# }
# NOT RUN {
# }

Run the code above in your browser using DataCamp Workspace