rankDC {analogue} | R Documentation |
Rank correlation between environmental and species dissimilarities.
Description
Computes the rank correlation between distances between sites in terms of gradient variables, such as environmental ones, and species composition.
Usage
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", ...)
Arguments
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 x-axis label for the plot. |
color , pch , bg , lcolor , lty |
arguments passed to
|
... |
arguments passed to other methods, including
|
Value
A named vector of rank correlations is returned.
Author(s)
Gavin L. Simpson, based on rankindex
from the
vegan package.
See Also
rankindex
from package vegan. For the
dotplot
method, see dotplot
.
Examples
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)