
rankindex(grad, veg, indices = c("euc", "man", "gow", "bra", "kul"),
stepacross = FALSE, method = "spearman", ...)
vegdist
.stepacross
to find
a shorter path dissimilarity. The dissimilarities for site pairs
with no shared species are set NA
using
no.shared<
stepacross
.vegdist
against
gradient separation using rank correlation coefficients in
cor.test
. The gradient separation between each
point is assessed as Euclidean distance for continuous variables, and
as Gower metric for mixed data using function
daisy
when grad
has factors.vegdist
, stepacross
,
no.shared
, isoMDS
,
cor
, Machine
, and for
alternatives anosim
, mantel
and
protest
.data(varespec)
data(varechem)
## The next scales all environmental variables to unit variance.
## Some would use PCA transformation.
rankindex(scale(varechem), varespec)
rankindex(scale(varechem), wisconsin(varespec))
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