plot.symcoca: Biplots for symmetric co-correspondence analysis

In gavinsimpson/cocorresp-old: Co-correspondence analysis methods

Description

Produces biplots of the response and predictor from the results of a symmetric co-correspondence analysis.

Usage

## S3 method for class 'symcoca'
plot(x,
    which = c("response", "predictor"),
    choices = 1:2,
    display = c("species", "sites"),
    scaling = FALSE,
    type,
    xlim = NULL,
    ylim = NULL,
    main = "",
    sub = "",
    ylab, xlab,
    ann = par("ann"),
    axes = TRUE,
    ...)

Arguments

x	an object of class "symcoca", the result of a call to symcoca.
which	character; should the response or predictor scores be plotted.
choices	a vector of length 2 indicating which predictive CoCA axes to plot.
display	which sets of scores are drawn. See scores.symcoca.
scaling	logical, whether scaling should be applied. See scores.symcoca.
type	one of "points", "text", or "none". Determines how the site and species scores are displayed. If type = "points", scores are plotted as points. If type = "text", then the row names of the scores matrices are plotted. If type = "none", then the scores are not plotted.
xlim, ylim	limits for the x and y axes. If non supplied, suitable limits will be determined from the data.
xlab, ylab	labels for the x and y axes. If non supplied suitable labels are formed from the result object.
main, sub	the main and sub titles for the plot.
ann	logical, if TRUE plots are annotated and not if FALSE, currently ignored.
axes	a logical value indicating whether both axes should be drawn on the plot.
...	other graphical parameters as in 'par' may also be passed as arguments.

Author(s)

Gavin L. Simpson.

References

Ter Braak, C.J.F and Schaffers, A.P. (2004) Co-Correspondence Analysis: a new ordination method to relate two community compositions. Ecology 85(3), 834–846

See Also

coca, plot.default

Examples

## symmetric CoCA
data(beetles)
data(plants)

## log transform the bettle data
beetles <- log(beetles + 1)

## fit the model
bp.sym <- coca(beetles ~ ., data = plants, method = "symmetric")

## draw a biplot of the response
plot(bp.sym)

## plot of both
layout(matrix(1:2, ncol = 2))
plot(bp.sym, which = "response", main = "Beetles")
plot(bp.sym, which = "predictor", main = "Plants")
layout(1)

gavinsimpson/cocorresp-old documentation built on May 16, 2019, 10:10 p.m.