Clustering using k_col

[margauxhaering]

Hi,
I really love using heatmaply and I am really happy with the k_col argument.
To obtain a list of these clusters I used the hclust and dist functions.
But is it possible to obtain some sort of legend to number these clusters as in my dend and cut object ?
(I'll note that my data table is transposed before plotting)

library("heatmaply")
data <- mtcars
dend <- hclust(dist(t(data), method = 'euclidean'), method = 'ward.D2')
cut <- cutree(dend, k = 5)


# As my heatmap is : 

heatmaply(
  data,
  colors = RdYlGn(100),
  k_col = 5,
  dist_method = 'euclidean',
  hclust_method = 'ward.D2',
  xlab = "Gene",
  ylab = "Sample",
  margins = c(150, 100, 40, 20),
  scale = "none",
  labCol = colnames(data),
  labRow = rownames(data)
)

Thank you very much!
Margaux

[alanocallaghan]

Do you mean a legend on the heatmap?

[margauxhaering]

An annotation bar to specify which cluster is the nb1, nb2, nb3..., nb15

[alanocallaghan]

Ah, yeah legends are a bit tricky with plotly. I'll see if things are easier than before.

[margauxhaering]

Thank you very much for your time!