Go through the dendrogram nodes and updates the values inside its nodePar

If the value has Inf then the value in edgePar will not be changed.

assign_values_to_nodes_nodePar(
  dend,
  value,
  nodePar = c("pch", "cex", "col", "xpd", "bg"),
  warn = dendextend_options("warn"),
  ...
)

Arguments

dend

a dendrogram object

value

a new value vector for the nodePar attribute. It should be the same length as the number of nodes in the tree. If not, it will recycle the value and issue a warning.

nodePar

the value inside nodePar to adjust. This may contain components named pch, cex, col, xpd, and/or bg.

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.

...

not used

Value

A dendrogram, after adjusting the nodePar attribute in all of its nodes,

Examples


if (FALSE) {

dend <- USArrests[1:5, ] %>%
  dist() %>%
  hclust("ave") %>%
  as.dendrogram()

# reproduces "labels_colors<-"
# although it does force us to run through the tree twice,
# hence "labels_colors<-" is better...
plot(dend)
dend2 <- dend %>%
  assign_values_to_nodes_nodePar(value = 19, nodePar = "pch") %>%
  assign_values_to_nodes_nodePar(value = c(1, 2), nodePar = "cex") %>%
  assign_values_to_nodes_nodePar(value = c(2, 1), nodePar = "col")
plot(dend2)


### Making sure this works for NA with character.
dend %>%
  assign_values_to_nodes_nodePar(value = 19, nodePar = "pch") %>%
  assign_values_to_nodes_nodePar(value = c("red", NA), nodePar = "col") -> dend2
plot(dend2)
}