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ordiplot
always plots only unlabelled points, but
identify.ordiplot
can be used to add labels to selected site,
species or constraint points. Function identify.ordiplot
can
be used to identify points from plot.cca
,
plot.decorana
, plot.procrustes
and
plot.rad
as well.ordiplot(ord, choices = c(1, 2), type="points", display, xlim, ylim, ...)
## S3 method for class 'ordiplot':
identify(x, what, labels, ...)
## S3 method for class 'ordiplot':
points(x, what, select, ...)
## S3 method for class 'ordiplot':
text(x, what, labels, select, ...)
"points"
,
"text"
or "none"
for any ordination method.ordiplot
.TRUE
for displayed items or a vector of indices
of displayed items.ordiplot
returns invisibly an object of class
ordiplot
with items sites
, species
and
constraints
(if these are available in the ordination
object). Function identify.ordiplot
uses this object to label
the point.ordiplot
draws an ordination diagram using black circles for
sites and red crosses for species. It returns invisibly an object of
class ordiplot
which can be used by identify.ordiplot
to label selected sites or species, or constraints in
cca
and rda
. The function can handle output from several alternative ordination
methods. For cca
, rda
and
decorana
it uses their plot
method with option
type = "points"
. In addition, the plot
functions of
these methods return invisibly an ordiplot
object which can
be used by identify.ordiplot
to label points. For other
ordinations it relies on scores
to extract the scores.
For full user control of plots, it is best to call ordiplot
with type = "none"
and save the result, and then add sites and
species using points.ordiplot
or text.ordiplot
which
both pass all their arguments to the corresponding default graphical
functions.
identify
for basic operations, plot.cca
,
plot.decorana
, plot.procrustes
which also
produce objects for
identify.ordiplot
and scores
for extracting
scores from non-vegan
ordinations.# Draw a cute NMDS plot from a non-vegan ordination (isoMDS).
# Function metaMDS would be an easier alternative.
data(dune)
dune.dis <- vegdist(wisconsin(dune))
library(MASS)
dune.mds <- isoMDS(dune.dis)
dune.mds <- postMDS(dune.mds, dune.dis)
dune.mds$species <- wascores(dune.mds$points, dune, expand = TRUE)
fig <- ordiplot(dune.mds, type = "none")
points(fig, "sites", pch=21, col="red", bg="yellow")
text(fig, "species", col="blue", cex=0.9)
# Default plot of the previous using identify to label selected points
fig <- ordiplot(dune.mds)
identify(fig, "spec")
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