A cube plot for the combined effect of three factors is produced (function cubePlot). Functions cubedraw, cubecorners, cubelabel and myscatterplot3d are not intended for users.
cubePlot(obj, eff1, eff2, eff3, main=paste("Cube plot for",respnam),
cex.title=1.5,cex.lab=par("cex.lab"), cex.ax=par("cex.axis"),
cex.clab=1.2, size=0.3, round=NULL,
abbrev=4,y.margin.add=-0.2, modeled=TRUE)
a vector of response values to be analyzed
OR
a linear model object with 2-level factors or numerical 2-level variables (CAUTION: numerical x-variable have to be coded as -1 and +1 only!); the structure must be such that effects are either fully aliased or orthogonal, like in a fractional factorial 2-level design
cf. eff3
cf. eff3
effects to be included in the cube plot (x-, y-, z-direction),
EITHER vectors of equal length (two-level factors or numerical
with the two values -1 and 1)
OR variable names of main effects within the obj
linear
model object (character strings)
title for the plot, respnam
is the name of the
response variable as determined from the call
multiplier for size of overall title
(cex.main
is multiplied with this factor)
size of axis tick marks, defaults to cex.axis
-parameter
size of axis labels
size of corner labels
size of cube corners
optional rounding of corner labels (digits argument for function
round
, e.g. round=0 for integers, round=-1 for multiples
of 10, round=1 for 1 decimal place
number of characters shown for factor levels
adjustment parameter for placement of y-axis labeling
TRUE (default: show modeled means; FALSE: show averages
NOTE: Even when showing modeled means, there also appears to be a three-factor-interaction, if the model contains an effect that is aliased with this interaction!
cubePlot
is used for its side effects only.
cubePlot
produces a cube plot of the modeled means or averages of
all combinations for three factors. The other functions are internal
and are called by cubePlot.
myscatterplot3d
is a modified version of scatterplot3d,
made more suitable for this situation.
Box G. E. P, Hunter, W. C. and Hunter, J. S. (2005) Statistics for Experimenters, 2nd edition. New York: Wiley.
FrF2-package
for examples