Nothing
`envfit.default` <-
function (ord, env, permutations = 999, strata = NULL, choices = c(1, 2),
display = "sites", w = weights(ord, display), na.rm = FALSE, ...)
{
vectors <- NULL
factors <- NULL
X <- scores(ord, display = display, choices = choices, ...)
keep <- complete.cases(X) & complete.cases(env)
if (any(!keep)) {
if (!na.rm)
stop("missing values in data: consider na.rm = TRUE")
X <- X[keep,, drop=FALSE]
## drop any lost levels, explicitly don't include NA as a level
env <- droplevels(env[keep,, drop=FALSE], exclude = NA)
w <- w[keep]
na.action <- structure(seq_along(keep)[!keep], class="omit")
}
## make permutation matrix for all variables handled in the next loop
nr <- nrow(X)
permat <- getPermuteMatrix(permutations, nr, strata = strata)
if (ncol(permat) != nr)
stop(gettextf("'permutations' have %d columns, but data have %d rows",
ncol(permat), nr))
if (is.data.frame(env)) {
vects <- sapply(env, is.numeric)
if (any(!vects)) { # have factors
Pfac <- env[, !vects, drop = FALSE]
P <- env[, vects, drop = FALSE]
if (length(P)) { # also have vectors
vectors <- vectorfit(X, P, permutations, strata,
choices, w = w, ...)
}
factors <- factorfit(X, Pfac, permutations, strata,
choices, w = w, ...)
sol <- list(vector = vectors, factors = factors)
}
else vectors <- vectorfit(X, env, permutations, strata,
choices, w = w, ...)
}
else vectors <- vectorfit(X, env, permutations, strata,
choices, w = w, ...)
sol <- list(vectors = vectors, factors = factors)
if (!is.null(na.action))
sol$na.action <- na.action
class(sol) <- "envfit"
sol
}
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