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#' Stairs
#'
#' Calculates the staircase-ness measure defined in Norstrom et al., Evolutionary Bioinformatics online, 8:261 (2012) \doi{10.4137/EBO.S9738}.
#'
#' @author Michelle Kendall \email{michelle.louise.kendall@@gmail.com}
#'
#' @param tree a tree of class \code{phylo} or \code{phylo4}. The tree should be binary and rooted; if not it will be coerced into a binary rooted tree using multi2di, if possible.
#' @return Two numbers corresponding to the two staircase-ness measures for a tree. These are two related measures:
#' \itemize{
#' \item 1: the proportion of subtrees that are imbalanced (i.e. subtrees where the left child has more tip descendants than the right child, or vice versa)
#' \item 2: the average of all the min(l,r)/max(l,r) values of each subtree, where l and r are the number of tips in the left and right children of a subtree.
#' }
#'
#' @import ape
#'
#' @examples
#' ## Find the staircase-ness measures in a random tree with 20 tips:
#' stairs(rtree(20))
#'
#'
#' @export
stairs <- function(tree) {
tree <- phyloCheck(tree)
N <- length(tree$tip.label)
# if N=2:
if (N==2) {
stair1 <- 0
stair2 <- 1
}
else {
tImb <- treeImb(tree)
tImb <- tImb[(N+1):(2*N-1),]
stair1 <- (1/(N - 1)) * sum(tImb[,1] != tImb[,2])
stair2 <- (1/(N - 1)) * sum(pmin(tImb[,2], tImb[,1])/pmax(tImb[,2], tImb[,1]))
}
return(c(stair1, stair2))
}
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