lvplot {VGAM}

Latent Variable Plot

Description

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

Usage

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.

Note

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

Author(s)

Thomas W. Yee

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.

See Also

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

Examples

## Not run: 
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)

## End(Not run)