Latent Variable Plot

Generic function for a latent variable plot (also known as an ordination diagram by ecologists).

lvplot(object, ...)

Arguments

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 Coef.

Details

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.

Value

The value returned depends specifically on the methods function invoked.

References

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.

Author

Thomas W. Yee

Note

Latent variables are not really applicable to vglm/vgam models.

See also

lvplot.qrrvglm, lvplot.cao, latvar, trplot.

Examples

if (FALSE) { # \dontrun{
hspider[,1:6] <- scale(hspider[,1:6])  # Stdz 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)
} # }