Nothing
`taxa2dist` <-
function (x, varstep = FALSE, check = TRUE, labels)
{
rich <- apply(x, 2, function(taxa) length(unique(taxa)))
S <- nrow(x)
## check drops redundant levels (constant or non-repeating)
if (check) {
keep <- rich < S & rich > 1
rich <- rich[keep]
x <- x[, keep, drop=FALSE]
}
i <- rev(order(rich))
x <- x[, i, drop=FALSE]
rich <- rich[i]
if (varstep) {
add <- -diff(c(nrow(x), rich, 1))
add <- add/c(S, rich)
add <- add/sum(add) * 100 # 100 after Clarke, veganish would be 1
}
else {
add <- rep(100/(ncol(x) + check), ncol(x) + check)
}
if (!is.null(names(add)))
names(add) <- c("Base", names(add)[-length(add)])
if (!check)
add <- c(0, add)
out <- matrix(add[1], nrow(x), nrow(x))
for (i in 1:ncol(x)) {
out <- out + add[i + 1] * outer(x[, i], x[, i], "!=")
}
out <- as.dist(out)
attr(out, "method") <- "taxa2dist"
attr(out, "steps") <- add
attr(out, "maxdist") <- 100 # after Clarke, veganish would be 1
if (missing(labels)) {
attr(out, "Labels") <- rownames(x)
} else {
if (length(labels) != nrow(x))
warning(gettextf("labels are wrong: needed %d, got %d",
nrow(x), length(labels)))
attr(out, "Labels") <- as.character(labels)
}
if (!check && any(out <= 0))
warning("you used 'check=FALSE' and some distances are zero: was this intended?")
out
}
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