HH: panel.interaction2wt – R documentation

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panel.interaction2wt

Plot all main effects and twoway interactions in a multifactor design

Description

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.

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

panel.interaction2wt 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.

strip.interaction2wt arguments

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`

Author(s)

Richard M. Heiberger <rmh@temple.edu>

References

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

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)

## End(Not run)

HH

Statistical Analysis and Data Display: Heiberger and Holland

v3.1-43

GPL (>= 2)

Authors

Richard M. Heiberger

Initial release

2020-11-27