## Here is an example using the 3-way interaction plot from the HH package
install.packages("HH") ## if necessary
## The HH package supports the book
## Statistical Analysis and Data Display
## Richard M. Heiberger and Burt Holland
## http://www.springer.com/us/book/9781493921218
library(HH)
## find the pathname of the R script file dsgn.R containing this example
HHscriptnames(13)
## open the file dsgn.R in your favorite editor.
## Then run
## chunk 2,
## chunk 3, Figure 13.1
## chunk 4 Table 13.1
## chunk 7 Figure 13.3 three-way interactions
## Rows of the array of panels are current
## Columns of the array of panels are n.treats
## differently colored boxes within each panel are minutes
##
## In this example the 3-way interaction is not significant.
## For a hint of what one could see, compare the panel "60.cycle x 3"
## with "60.cycle x 6". In "60.cycle x 3", the red box at
minutes=5 is
## higher than the other three boxes. In "60.cycle x 6", the red box
at
## minutes=5 is lower than the other boxes.
## Illustrate a minimalist form of this call.
## Create a dataset with simple variable names Y, A, B, C
mydata <- data.frame(Y=cc176$y.adj,
A=unpositioned(cc176$minutes),
B=cc176$n.treats,
C=cc176$current)
## A is an ordinary factor, minutes is a positioned factor, see
?HH::position
## We use xyplot() here, not bwplot(), because bwplot() doesn't handle
"positioned" factors.
## The minimalist form of this call is
useOuterStrips(
xyplot(Y ~ A | B + C, data=mydata,
groups=A,
panel=panel.bwplot.superpose, ## take control of colors of the boxes
horizontal=FALSE,
between=list(x=1, y=1))
)
On Mon, Jan 7, 2019 at 7:59 PM David Winsemius <dwinsemius at comcast.net>
wrote:
>
> On 1/7/19 3:35 PM, varin sacha via R-help wrote:
> > Dear R-experts,
> >
> > I have fitted a model with 2-way and 3-way interactions.
> > I would like, for the 3-way interaction (year,age,by=education), to
> obtain 3D-plots. How could I do that ?
>
> Forget ggplot2. It has ignored this sort of visualization effort. Use
> lattice or base plotting methods.
>
>
> In order to plot a 2way interaction one needs a pseudo-3way plot
> (`wireframe`) or a single `levelplot`. For display of a 3way interaction
> in lattice (given the human minds inability to "see" in 4
dimensions)
> you will need to specify levels for one of the variables to display
> slices perhaps using multiple displays of 2way "sub-interactions"
> calculated ad meaningul levels of the variable you choose to slive
> with. I'm not sure what the "native" plotting method for
pkg:mgcv might
> be. I suspect it was base graphics,; if so, look at ?persp and ?contour.
>
> --
>
> David
>
> >
> > Many thanks for your response.
> >
> > Here is the reproducible example:
> >
> > #############
> > install.packages("ISLR")
> >
> > library(ISLR)
> >
> > install.packages("mgcv")
> >
> > library(mgcv)
> >
> > mod1<-gam(wage
>
~education+s(age,bs="ps")+year+te(age,year,bs="ps")+s(year,bs="ps",by=education,m=1)+te(year,age,by=education,bs=rep("ps",2)),data=Wage)
> >
> > plot(mod1)
> > #############
> >
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
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