# panel.interaction2wt

From HH v1.5
by Richard Heiberger

##### 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.

##### Usage

```
panel.interaction2wt(x, y, subscripts, responselab,
trace.values, factor.levels, fun = mean, ...)
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`

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

- 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

##### Examples

```
anova(aov(len ~ supp*dose, data=ToothGrowth))
interaction2wt(len ~ supp + dose, data=ToothGrowth)
bwplot(len ~ supp | dose, data=ToothGrowth, layout=c(3,1))
```

*Documentation reproduced from package HH, version 1.5, License: GPL version 2 or newer*

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