dendextend (version 1.8.0)

cor.dendlist: Correlation matrix between a list of trees.

Description

A correlation matrix between a list of trees.

Assumes the labels in the two trees fully match. If they do not please first use intersect_trees to have them matched.

Usage

cor.dendlist(dend, method = c("cophenetic", "baker", "common_nodes",
  "FM_index"), ...)

Arguments

dend

a dendlist of trees

method

a character string indicating which correlation coefficient is to be computed. One of "cophenetic" (default), "baker", "common_nodes", or "FM_index". It can be abbreviated.

...

passed to cor functions.

Value

A correlation matrix between the different trees

See Also

cophenetic, cor_cophenetic, cor_bakers_gamma, cor_common_nodes, cor_FM_index

Examples

Run this code
# NOT RUN {
# }
# NOT RUN {
set.seed(23235)
ss <- sample(1:150, 10 )
dend1 <- iris[ss,-5] %>% dist %>% hclust("com") %>% as.dendrogram
dend2 <- iris[ss,-5] %>% dist %>% hclust("single") %>% as.dendrogram
dend3 <- iris[ss,-5] %>% dist %>% hclust("ave") %>% as.dendrogram
dend4 <- iris[ss,-5] %>% dist %>% hclust("centroid") %>% as.dendrogram
#    cutree(dend1)   
cors <- cor.dendlist(dendlist(d1 = dend1, d2 = dend2, d3 = dend3, d4 = dend4))

cors

# a nice plot for them:
library(corrplot)
corrplot(cor.dendlist(dend1234), "pie", "lower")

# }

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