Latent Variable Plot
Generic function for a latent variable plot (also known as an ordination diagram by ecologists).
lvplot(object, ...)
object |
An object for a latent variable plot is meaningful. |
... |
Other arguments fed into the specific
methods function of the model. They usually are graphical
parameters, and sometimes they are fed
into the methods function for |
Latent variables occur in reduced-rank regression models, as well as in quadratic and additive ordination. For the latter, latent variables are often called the site scores. Latent variable plots were coined by Yee (2004), and have the latent variable as at least one of its axes.
The value returned depends specifically on the methods function invoked.
Thomas W. Yee
Yee, T. W. (2004). A new technique for maximum-likelihood canonical Gaussian ordination. Ecological Monographs, 74, 685–701.
Yee, T. W. (2006). Constrained additive ordination. Ecology, 87, 203–213.
lvplot.qrrvglm,
lvplot.cao,
latvar,
trplot.
## Not run:
hspider[,1:6] <- scale(hspider[,1:6]) # Standardized environmental vars
set.seed(123)
p1 <- cao(cbind(Pardlugu, Pardmont, Pardnigr, Pardpull, Zoraspin) ~
WaterCon + BareSand + FallTwig +
CoveMoss + CoveHerb + ReflLux,
family = poissonff, data = hspider, Bestof = 3,
df1.nl = c(Zoraspin = 2.5, 3), Crow1positive = TRUE)
index <- 1:ncol(depvar(p1))
lvplot(p1, lcol = index, pcol = index, y = TRUE, las = 1)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.