Correlation matrix between a list of trees.
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.
cor.dendlist(
dend,
method = c("cophenetic", "baker", "common_nodes", "FM_index"),
...
)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. |
A correlation matrix between the different trees
## 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")
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.