panel.interaction2wt

0th

Percentile

Plot all main effects and twoway interactions in a multifactor design

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.

Keywords
aplot , design
Usage
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, ...)

Arguments
x

levels of x-factor

y

Summary value of response variable at each level of x- and trace-factors.

subscripts

used to get the right set of response values for the summary statistics on the off-diagonals

responselab

Character name of response variable, defaults to the name of the response variable.

trace.values

levels of trace-factor

fun

Summary function, defaults to mean

se

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.

type

See panel.xyplot.

box.ratio

passed to panel.bwplot.intermediate.hh

extra arguments, primarily color, to be passed to panel.bwplot.intermediate.hh

key.in

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.

factor.position

"position" attribute of factor.

simple

logical. If TRUE, then simple effects are to be displayed.

simple.offset, simple.scale

named list of offset and scale for the response and trace factors. See interaction.positioned for their use.

simple.pch

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.x

data.frame containing factors from the input data.frame

col.by.row

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.

which.given, which.panel, var.name, factor.levels, shingle.intervals

see documentation for strip.default

strip.names

Force strip.names=TRUE

style

force style=1

References

Heiberger, Richard M. and Holland, Burt (2004b). Statistical Analysis and Data Display: An Intermediate Course with Examples in S-Plus, R, and SAS. Springer Texts in Statistics. Springer. ISBN 0-387-40270-5.

See Also

interaction2wt, panel.bwplot.intermediate.hh

Aliases
  • panel.interaction2wt
  • strip.interaction2wt
Examples
# 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)
# }
Documentation reproduced from package HH, version 3.1-37, License: GPL (>= 2)

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