noRRR = ~ 1.trplot.qrrvglm(object, which.species = NULL, add = FALSE, show.plot = TRUE, label.sites = FALSE, sitenames = rownames(object@y), axes.equal = TRUE, cex = par()$cex, col = 1:(nos * (nos - 1)/2), log = "", lty = rep_len(par()$lty, nos * (nos - 1)/2), lwd = rep_len(par()$lwd, nos * (nos - 1)/2), tcol = rep_len(par()$col, nos * (nos - 1)/2), xlab = NULL, ylab = NULL, main = "", type = "b", check.ok = TRUE, ...)"qrrvglm", i.e., a CQO object.
FALSE (default),
a new plot is made. TRUE, the points on the
curves/trajectories are labelled with the sitenames. TRUE, the x- and y-axes
will be on the same scale.
label.sites is TRUE.
See the cex argument in par.
col argument in par.
Here, nos is the number of species.
log argument in par.
lty argument of par.
lwd argument of par.
col argument in par.
Used only if label.sites is TRUE.
type="l" for lines only.
See the type argument of plot.
noRRR = ~ 1 was used.
It doesn't make sense to have a trace plot unless this is so.
plot function
when setting up the entire plot. Useful arguments here include
xlim and ylim.
which.species must
therefore contain at least two species. By default, all of the
species that were fitted in object are plotted.
With more than a few species
the resulting plot will be very congested, and so it is recommended
that only a few species be selected for plotting.In the above, $M$ is the number of species selected for plotting, so there will be $M*(M-1)/2$ curves/trajectories in total.
A trajectory plot will be fitted only if noRRR = ~ 1 because
otherwise the trajectory will not be a smooth function of the latent
variables.
Yee, T. W. (2012) On constrained and unconstrained quadratic ordination. Manuscript in preparation.
cqo,
par,
title.