plot.dat.theor: Plot multigroup data along with theoretical predictions

In bbolker/cpcbp: common principal components/back-projection analysis

Description

Plots multigroup data along with the major axis line and 95% confidence ellipses

Usage

plot_dat.theor(x, f, vars = 1:2, cols = 1:length(levels(f)), theor, lines = TRUE, ellipses = TRUE, ...)

Arguments

x	a numeric matrix or data frame, or (if f is missing) a list of a data matrix and a grouping variable
f	factor describing group structure
vars	vector of the (two) variables to plot
cols	colors
theor	list of theoretical values, as output by sim.theor
lines	(logical) plot major axis lines?
ellipses	(logical) plot 95% confidence ellipses?
...	other options to plot

Value

Produces a plot.

Author(s)

Ben Bolker

Examples

X = simdata()
Th = sim.theor()
plot_dat.theor(X,theor=Th)

bbolker/cpcbp documentation built on May 11, 2019, 9:28 p.m.