vegan
plot.cca, plot.decorana or
ordiplot.ordihull(ord, groups, display = "sites", draw = c("lines","polygon"),
show.groups, ...)
ordiarrows(ord, groups, levels, replicates, display = "sites",
show.groups, startmark, ...)
ordisegments(ord, groups, levels, replicates, display = "sites",
show.groups, ...)
ordigrid(ord, levels, replicates, display = "sites", ...)
ordispider(ord, groups, display="sites", w = weights(ord, display),
show.groups, ...)
ordiellipse(ord, groups, display="sites", kind = c("sd","se"), conf,
draw = c("lines","polygon"), w = weights(ord, display),
show.groups, ...)
ordicluster(ord, cluster, prune = 0, display = "sites",
w = weights(ord, display), ...)ordiplot object.levels and
replicates, where levels gives the number of groups,
and replicates the number of successive items at the same
groupTRUE if you want to show items for which condition is
TRUE. This argument makes it possible to use different
colours and line types for groups. The default is to show astartmark = 1 will draw a circle. For other plotting characters,
see pch in pointssd) or
standard deviations of their (weighted) averages (se) are
used.sd or se is multiplied with the
corresponding value found from the Chi-squared distribution with
2df.prune $>0$, dendrogram will be
disconnected.ordihull draws lines or
polygons for the convex
hulls found by function chull encircling
the items in the groups. Function ordiarrows draws
arrows and ordisegments draws line
segments between successive items in the
groups. Function ordigrid draws line
segments both within the groups and for the
corresponding items among the groups.
Function ordispider draws a `spider' diagram where each point
is connected to the group centroid with
segments. Weighted centroids are used in the
correspondence analysis methods cca and
decorana or if the user gives the weights in the
call. If ordispider is called with cca or
rda result without groups argument, the function
connects each `WA' scores to the correspoding `LC' score.
Function ordiellipse draws lines or
polygons for dispersion
ellipse using either standard deviation of
point scores or standard error of the (weighted) average of
scores, and the (weighted) correlation defines the direction of the
principal axis of the ellipse. The function requires package
ellipsoidhull of package
Function ordicluster overlays a cluster dendrogram onto
ordination. It needs the result from a hierarchic clustering such as
hclust or agnes, or other
with a similar structure. Function ordicluster connects
cluster centroids to each other with line
segments. Function uses centroids of all points in the
clusters, and is therefore similar to average linkage methods.
arrows,
lines, segments and
polygon. You can pass
parameters to scores as well. Other underlying functions
are chull and ellipse.data(dune)
data(dune.env)
mod <- cca(dune ~ Moisture, dune.env)
attach(dune.env)
plot(mod, type="n")
ordihull(mod, Moisture)
ordispider(mod, col="red")
plot(mod, type = "p", display="sites")
ordicluster(mod, hclust(vegdist(dune)), prune=3, col = "blue")
# The following is not executed automatically because it needs
# a non-standard library `ellipse'.
ordiellipse(mod, Moisture, kind="se", level=0.95, lwd=2, col="blue")Run the code above in your browser using DataLab