Nothing
`treedive` <-
function(comm, tree, match.force = TRUE, verbose = TRUE)
{
EPS <- sqrt(.Machine$double.eps)
comm <- as.matrix(comm)
if (!inherits(tree, c("hclust", "spantree")))
stop("'tree' must be an 'hclust' or 'spantree' result object")
if (inherits(tree, "hclust") && any(diff(tree$height) < -EPS))
stop("tree with reversals cannot be handled")
m <- as.matrix(cophenetic(tree))
## Check tree/comm match by names
if (match.force || ncol(comm) != ncol(m)) {
if (match.force && verbose)
message("Forced matching of 'tree' labels and 'comm' names")
else if (verbose)
message("Dimensions do not match between 'comm' and 'tree'")
fnd <- colnames(comm) %in% tree$labels
if (!all(fnd) && verbose) {
warning("not all names of 'comm' found in 'tree'")
comm <- comm[, fnd]
}
fnd <- tree$labels %in% colnames(comm)
if (!all(fnd))
warning("not all names of 'tree' found in 'comm'")
comm <- comm[, tree$labels[fnd]]
m <- m[tree$labels[fnd], tree$labels[fnd]]
if (length(unique(tree$labels)) != length(tree$labels))
stop("names not unique in 'tree': match wrong")
if (length(unique(colnames(comm))) != ncol(comm))
stop("names not unique in 'comm': match wrong")
}
## Repeat for sites
div <- numeric(nrow(comm))
for (i in 1:nrow(comm)) {
k <- comm[i,] > 0
nit <- sum(k)
## Trivial cases of zero or one species
if (nit==0)
div[i] <- NA
else if (nit==1)
div[i] <- 0
else {
d <- as.dist(m[k,k])
cl <- update(tree, d = d)
div[i] <- treeheight(cl)
}
}
names(div) <- rownames(comm)
div
}
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