simulateLinear: Simulation of Linear Models for ANOVA vs. Regression...

In jhmaindonald/DAAG: Data Analysis and Graphics Data and Functions

Description

This function simulates a number of bivariate data sets in which there are replicates at each level of the predictor. The p-values for ANOVA and for the regression slope are compared, and a lattice graphics object returned.

Usage

simulateLinear(sd=2, npoints=5, nrep=4, nsets=200, graphtype="xy",
seed=21, ...)

Arguments

sd	The error standard deviation
npoints	Number of distinct predictor levels
nrep	Number of replications at each level
nsets	Number of simulation runs
graphtype	Type of graph; x-y plot (graphtype="xy"), overlaid density plots (graphtype="density"), or density plot for x-y difference (graphtype="density-diff")
seed	Random Number generator seed
...	Additional arguments, to be passed through to the lattice function that is called

Value

A lattice graphics object.

Author(s)

J.H. Maindonald

Examples

simulateLinear()

jhmaindonald/DAAG documentation built on May 3, 2019, 3:13 p.m.