cross_cor: Pairwise correlations
In abichat/correlationtree: Functions about correlation tree

Description Usage Arguments Details Value Examples

Compute pairwise correlations within a list of vector.

1	cross_cor(L, remove = TRUE, .names = names(L), ...)

`L`	the list of all vector to be compared.
`remove`	logical. If `TRUE` (default), shared zeros are removed.
`.names`	character.
`...`	arguments to be passed to `cor` such as `method` (see details).

For method: one of "pearson" (default), "kendall", or "spearman".

A similarity matrix of class dist with all correlation between vectors.

df <- data.frame(Clade = letters[1:4],
                 v = c(3, 0, 0, 3),
                 w = c(4, 5, 7, 0),
                 x = c(8, 5, 5, 0),
                 y = c(1, 8, 0, 0),
                 z = c(3, 5, 2, 2))
L <- mat2list(df2mat(df))
cross_cor(L, remove = TRUE, method = "spearman")