plotCharacters: Draws Character's Contribution as Arrows

In MorphoTools2: Multivariate Morphometric Analysis

Draws Character's Contribution as Arrows

Description

The character's contribution to ordination axes are visualised as arrows.

Usage

plotCharacters(result, axes = c(1, 2), xlab = NULL, ylab = NULL,
    main = NULL, xlim = NULL, ylim = NULL, col = "red", length = 0.1,
    angle = 15, labels = TRUE, cex = 0.7, ...)

Arguments

result	an object of class pcadata or cdadata.
axes	x, y axes of plot.
xlab, ylab	a title of the respective axes.
xlim, ylim	numeric vectors of length 2, giving the x and y coordinates ranges.
main	a main title for the plot.
col	the colour for arrows.
length	length of the edges of the arrow head (in inches).
angle	angle from the shaft of the arrow to the edge of the arrow head.
labels	logical, if TRUE, labels are displayed. Only restricted number of parameters are supported. For more precise labels plotting, use plotAddLabels.characters directly.
cex	character expansion factor for labels.
...	further arguments to be passed to arrows or other graphical parameters in par.

Details

The distribution of samples in ordination space is driven by morphological characters. Each character has its own contribution to ordination axes. These contributions are visualised as arrows. The direction and length of the arrows characterize the impact of the morphological characters on the separation of objects along a given axis. This information is stored in eigenvectors or total canonical structure coefficients for principal component analysis of canonical discriminant analysis, respectively.

The plotCharacters method is not applicable to results of the principal coordinates analysis (pcoa.calc) and non-metric multidimensional scaling (nmds.calc) analyses, as the influence of original characters on new axes can not be directly derived, and variation explained by individual axes is unknown.

Value

None. Used for its side effect of producing a plot.

Examples

data(centaurea)
centaurea = naMeanSubst(centaurea)
centaurea = removePopulation(centaurea, populationName = c("LIP", "PREL"))

pcaRes = pca.calc(centaurea)

plotCharacters(pcaRes)

MorphoTools2 documentation built on March 7, 2023, 6:18 p.m.