rankDC {analogue}  R Documentation 
Computes the rank correlation between distances between sites in terms of gradient variables, such as environmental ones, and species composition.
rankDC(g, y, dc = c("chord", "bray", "euclidean", "chi.square", "gower"),
method = "spearman")
## S3 method for class 'rankDC'
plot(x, sort = TRUE, decreasing = FALSE,
xlab = "Rank correlation", color = "blue",
pch = 21, bg = "blue", lcolor = "grey",
lty = "solid", ...)
## S3 method for class 'rankDC'
dotplot(x, data = NULL, sort = TRUE, decreasing = FALSE,
xlab = "Rank correlation", ...)
g 
the gradient values; usually a data frame of environmental data. 
y 
the species data; usually a data frame. 
dc 
character; the set of dissimilarity coefficients for which rank correlations with gradient distance are to be computed. 
method 
character; the correlation method to use. See the

x 
an object of class 
data 
NULL; ignored, only present for purposes of conformance to generic definition. 
sort , decreasing 
logical; should observations be sorted prior to plotting? If so, should they be sorted in order of decreasing size? 
xlab 
The xaxis label for the plot. 
color , pch , bg , lcolor , lty 
arguments passed to

... 
arguments passed to other methods, including

A named vector of rank correlations is returned.
Gavin L. Simpson, based on rankindex
from the
vegan package.
rankindex
from package vegan. For the
dotplot
method, see dotplot
.
data(swappH)
data(swapdiat)
rc < rankDC(swappH, swapdiat, dc = c("chord","euclidean","gower"))
## base plot uses dotchart()
plot(rc)
## lattice version of the base plot
dotplot(rc)