plot.apc: Graphical Summary of an APC Analysis

In APCanalysis: Analysis of Unreplicated Orthogonal Experiments using All Possible Comparisons

Description

Produces a scatterplot of minimum APC versus model size. This is useful for visualizing the relative values of APC for the best models of each size.

Usage

## S3 method for class 'apc'
plot(x, elabs = TRUE, ...)

Arguments

x	apc object
elabs	use effect labels as plotting characters
...	other arguments

Value

none

Author(s)

Arden Miller and Abu Zar Md. Shafiullah

See Also

apc, summary.apc

Examples

## This example demonstrates the analysis of an artificial data set for a unreplicated 
## factorial design for four two-level factors. The values of "resp" were generated as
## "resp<-round(10+8*x1+5*x3+7*x4+6*x1*x4+rnorm(16),2)". The data is contained in the 
## data frame "testdata". A maximum model size of 6 and an IER of .05 are used.
my.apc = apc(resp~x1*x2*x3*x4, maxsize=6, data=testdata, method=1, level=.05, reps=9000)
plot(my.apc)

Example output

APCanalysis documentation built on May 1, 2019, 6:27 p.m.