panel.interaction2wt  R Documentation 
This is the panel function for interaction2wt
. The main diagonal
displays boxplots for the main effects of each factor. The
offdiagonals show the interaction plots for each pair of factors.
The i,j
panel shows the same factors as the j,i
but with
the trace and xfactor roles interchanged.
panel.interaction2wt(x, y, subscripts, responselab, trace.values, factor.levels, factor.position, fun = mean, se, type="l", ..., box.ratio, simple=FALSE, simple.offset, simple.scale, simple.pch, data.x, col.by.row=TRUE, key.in=NULL) strip.interaction2wt(which.given, which.panel, var.name, factor.levels, shingle.intervals, strip.names = c(TRUE, TRUE), style = 1, ...)
panel.interaction2wt
arguments:
x 
levels of xfactor 
y 
Summary value of response variable at each level of x and tracefactors. 
subscripts 
used to get the right set of response values for the summary statistics on the offdiagonals 
responselab 
Character name of response variable, defaults to the name of the response variable. 
trace.values 
levels of tracefactor 
fun 
Summary function, defaults to 
se 
standard errors to be passed to 
,
type 
See 
,
box.ratio 
passed to 
,
... 
extra arguments, primarily color,
to be passed to 
key.in 
SPlus only. Arguments to be passed through to the 
factor.position 

simple 
logical. If 
simple.offset, simple.scale 
named list of offset and scale for the
response and trace factors. 
simple.pch 
Named list containing plotting characters for each
level of one or more of the factors. 
data.x 

col.by.row 
logical. If 
strip.interaction2wt
arguments
which.given, which.panel, var.name, factor.levels,
shingle.intervals 
see documentation
for 
.
strip.names 
Force 
style 
force 
Richard M. Heiberger <rmh@temple.edu>
Heiberger, Richard M. and Holland, Burt (2015). Statistical Analysis and Data Display: An Intermediate Course with Examples in R. Second Edition. SpringerVerlag, New York. https://link.springer.com/book/10.1007/9781493921225
interaction2wt
,
panel.bwplot.intermediate.hh
## Not run: tmp < data.frame(y=rnorm(48), A=factor(rep(1:2, 24)), B=factor(rep(rep(1:3, each=2), 8)), C=factor(rep(rep(1:4, each=6), 2))) interaction2wt(y ~ A+B+C, data=tmp, key.in=list(x=3), ## key.in is ignored by R xlim=c(.4, 4.5)) interaction2wt(y ~ B+C, data=tmp, key.in=list(x=2), xlim=c(.4, 4.5)) position(tmp$B) < c(1, 2.4, 3.8) interaction2wt(y ~ B+C, data=tmp, key.in=list(x=2), xlim=c(.4, 4.5)) interaction2wt(y ~ B+C, data=tmp, simple=TRUE, simple.scale=list(B=.18, C=.27), box.ratio=.2, key.in=list(x=2), xlim=c(.4, 4.5)) interaction2wt(y ~ C+B, data=tmp, simple=TRUE, simple.scale=list(B=.18, C=.27), box.ratio=.2, key.in=list(x=2), xlim=c(.4, 4.5)) interaction2wt(y ~ B+C, data=tmp, simple=TRUE, simple.scale=list(B=.18, C=.27), box.ratio=.2, simple.pch=list(C=c(16,17,18,19)), key.in=list(x=2), xlim=c(.4, 4.5)) interaction2wt(y ~ C+B, data=tmp, simple=TRUE, simple.scale=list(B=.18, C=.27), box.ratio=.2, simple.pch=list(C=c(16,17,18,19)), key.in=list(x=2), xlim=c(.4, 4.5)) interaction2wt(y ~ C+B, data=tmp, simple=TRUE, simple.scale=list(B=.18, C=.27), box.ratio=.2, simple.pch=list(A=c(1:2), B=c(3:5), C=c(16,17,18,19)), key.in=list(x=2), xlim=c(.4, 4.5)) interaction2wt(y ~ C+B, data=tmp, simple=TRUE, simple.scale=list(B=.18, C=.27), box.ratio=.2, simple.pch=list(A=c(1:2)), key.in=list(x=2), xlim=c(.4, 4.5)) interaction2wt(y ~ B+C, data=tmp, simple=TRUE, simple.scale=list(B=.18, C=.27), box.ratio=.2, simple.pch=list(B=c(16,17,18)), key.in=list(x=2), xlim=c(.4, 4.5), se=TRUE) ## End(Not run)
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