plot.predict.lm.rrpp: Plot Function for RRPP

In RRPP: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure

Plot Function for RRPP

Description

Plot Function for RRPP

Usage

## S3 method for class 'predict.lm.rrpp'
plot(x, PC = FALSE, ellipse = FALSE, abscissa = NULL, label = TRUE, ...)

Arguments

x	plot object (from predict.lm.rrpp)
PC	A logical argument for whether the data space should be rotated to its principal components
ellipse	A logical argument to change error bars to ellipses in multivariate plots. It has no function for univariate plots or is abscissa is not NULL.
abscissa	An optional vector (numeric of factor) equal in length to predictions to use for plotting as the abscissa (x-axis), in which case predictions are the ordinate (y-axis). This might be helpful if predictions are made for a continuous independent variable. The abscissa would be the same variable used to make predictions (and can be the data.frame used for newdata in predict.lm.rrpp).
label	A logical argument for whether points should be labeled (in multivariate plots).
...	other arguments passed to plot, arrows, points, or text (helpful to employ different colors or symbols for different groups). See plot.default, arrows, points, par, and text

Author(s)

Michael Collyer

Examples

# See lm.rrpp help file for examples.

RRPP documentation built on June 22, 2024, 6:45 p.m.