get_subdendrograms(dend, k, order_clusters_as_data = FALSE, ...)

# needed packages:
# install.packages(gplots)
# install.packages(viridis)
# install.packages(devtools)
# devtools::install_github('talgalili/dendextend') #' dendextend from github

# define dendrogram object to play with:
dend <- iris[1:20, -5] %>%
  dist() %>%
  hclust() %>%
  as.dendrogram() %>%
  # set("labels_to_character") %>%
  color_branches(k = 5)
labels(dend) <- letters[1:20]
plot(dend)
dend_list <- get_subdendrograms(dend, 5)
lapply(dend_list, labels)
# [[1]]
# [1] "a" "b"
# 
# [[2]]
# [1] "c" "d" "e" "f" "g"
# 
# [[3]]
# [1] "h" "i"
# 
# [[4]]
# [1] "j" "k" "l" "m"
# 
# [[5]]
# [1] "n" "o" "p" "q" "r" "s" "t"

# define dendrogram object to play with:
dend <- iris[, -5] %>%
  dist() %>%
  hclust() %>%
  as.dendrogram() %>%
  set("labels_to_character") %>%
  color_branches(k = 5)
dend_list <- get_subdendrograms(dend, 5)

# Plotting the result
par(mfrow = c(2, 3))
plot(dend, main = "Original dendrogram")
sapply(dend_list, plot)

# plot a heatmap of only one of the sub dendrograms
par(mfrow = c(1, 1))
library(gplots)
sub_dend <- dend_list[[1]] #' get the sub dendrogram
# make sure of the size of the dend
nleaves(sub_dend)
length(order.dendrogram(sub_dend))
# get the subset of the data
subset_iris <- as.matrix(iris[order.dendrogram(sub_dend), -5])
# update the dendrogram's internal order so to not cause an error in heatmap.2
order.dendrogram(sub_dend) <- as.integer(rank(order.dendrogram(sub_dend)))
heatmap.2(subset_iris, Rowv = sub_dend, trace = "none", col = viridis::viridis(100))