This is the panel function for interaction2wt. The main diagonal
displays boxplots for the main effects of each factor. The
off-diagonals 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 x-factor 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, ...)
levels of x-factor
Summary value of response variable at each level of x- and trace-factors.
used to get the right set of response values for the summary statistics on the off-diagonals
Character name of response variable, defaults to the name of the response variable.
levels of trace-factor
Summary function, defaults to mean
standard errors to be passed to panel.intxplot.
Missing, logical, or a numeric vector.
If se is missing or FALSE, or if simple is
FALSE, then standard errors are not plotted.
If TRUE, the standard errors are calculated from the
sufficient statistics for each group as the group's standard deviation
divided by the square root of the group's observation
count. If a numeric vector, it is evaluated in the environment of
the sufficient statistics.
See panel.xyplot.
passed to panel.bwplot.intermediate.hh
extra arguments, primarily color,
to be passed to panel.bwplot.intermediate.hh
S-Plus only. Arguments to be passed through to the key for the
trace-factor in each row of the display.
The most likely argument is x, which is needed if the key is
not correctly placed. Use, for example, key.in=list(x=-3.5)
where the units are the units of the left column of panels and the
value is the location where the left border of the key should be placed.
"position" attribute of factor.
logical. If TRUE, then simple effects are to be displayed.
named list of offset and scale for the
response and trace factors.
See interaction.positioned for their use.
Named list containing plotting characters for each
level of one or more of the factors. simple.pch is used only when
simple==TRUE. If the argument simple.pch is missing,
then the integers for the levels of the factors are used. The
characters are used for the median of the box plots in the diagonal
panels. They match the trace factor of the interaction panel in the
same column of the display.
data.frame containing factors from the input data.frame
logical. If TRUE (the default), simple
effects plots color the simple effects on the main diagonals in the same
color as the trace levels in their row. If FALSE, then simple
effects are colored to match the x levels in their column.
see documentation
for strip.default
Force strip.names=TRUE
force style=1
Heiberger, Richard M. and Holland, Burt (2015). Statistical Analysis and Data Display: An Intermediate Course with Examples in R. Second Edition. Springer-Verlag, New York. https://www.springer.com/us/book/9781493921218
# 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)
# }