qqyeffects {dae} | R Documentation |
Half or full normal plot of Yates effects
Description
Produces a half or full normal plot of the Yates effects from a
2^k
factorial experiment.
Usage
qqyeffects(aov.obj, error.term="Within", data=NULL, pch=16,
full=FALSE, ...)
Arguments
aov.obj |
An |
error.term |
The term from the |
data |
A |
pch |
The number of a plotting symbol to be drawn when plotting points
(use |
full |
whether a full or half normal plot is to be produced. The
default is for a half-normal plot; |
... |
Further graphical parameters may be specified (use
|
Details
A half or full normal plot of the Yates effects is produced. You will be able to interactively select effects to be labelled (click reasonably close to the point and on the side where you want the label placed). Right click on the graph and select Stop when you have finished labelling effects. A regression line fitted to the unselected effects and constrained to go through the origin is plotted. Also, a list of the labelled effects, if any, are printed to standard ouptut.
Value
Returns, invisibly, a list with components x and y, giving coordinates of the plotted points.
Author(s)
Chris Brien
See Also
yates.effects
in package dae, qqnorm
.
Examples
## analysis of 2^4 factorial experiment from Table 10.6 of Box, Hunter and
## Hunter (1978) Statistics for Experimenters. New York, Wiley.
## use ?Fac4Proc.dat for data set details
data(Fac4Proc.dat)
Fac4Proc.aov <- aov(Conv ~ Catal * Temp * Press * Conc + Error(Runs),
Fac4Proc.dat)
qqyeffects(Fac4Proc.aov, error.term="Runs", data=Fac4Proc.dat)