plot.vf | R Documentation |
Add vector fitting arrows to an existing ordination plot.
## S3 method for class 'vf'
plot(x, pval = NULL, r = NULL, cex = 0.8, ascale = 0.9, ...)
x |
an object of S3 class |
pval |
optional, critical p-value for choosing variables to plot |
r |
optional, minimum Mantel r for choosing variables to plot |
cex |
text size |
ascale |
optional, proportion of plot area to use when calculating arrow length |
... |
optional, other graphics parameters |
Adds arrows to an existing ordination plot. Only arrows with a p-value less than pval are added. By default, all variables are shown.
Sarah Goslee
vf
# Example of multivariate analysis using built-in iris dataset
data(iris)
iris.d <- dist(iris[,1:4])
### nmds() is timeconsuming, so this was generated
### in advance and saved.
### set.seed(1234)
### iris.nmds <- nmds(iris.d, nits=20, mindim=1, maxdim=4)
### save(iris.nmds, file="ecodist/data/iris.nmds.rda")
data(iris.nmds)
# examine fit by number of dimensions
plot(iris.nmds)
# choose the best two-dimensional solution to work with
iris.nmin <- min(iris.nmds, dims=2)
# fit the data to the ordination as vectors
### vf() is timeconsuming, so this was generated
### in advance and saved.
### set.seed(1234)
### iris.vf <- vf(iris.nmin, iris[,1:4], nperm=1000)
### save(iris.vf, file="ecodist/data/iris.vf.rda")
data(iris.vf)
plot(iris.nmin, col=as.numeric(iris$Species), pch=as.numeric(iris$Species), main="NMDS")
plot(iris.vf)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.