# interaction.ABC.plot {dae}

### Description

Plots a `function`

(the mean by default) of the `response`

for the combinations of the three `factors`

specified as the `x.factor`

(plotted on the x axis of each plot), the `groups.factor`

(plotted as separate lines in each plot) and the `trace.factor`

(its `levels`

are plotted in different plots). Interaction plots for more than three `factors`

can be produced by using `fac.combine`

to combine all but two of them into a single `factor`

that is specified as the `trace.factor`

.

### Usage

interaction.ABC.plot(response, x.factor, groups.factor, trace.factor,data, fun="mean", title="A:B:C Interaction Plot", xlab, ylab, key.title, lwd=4, columns=2, ggplotFuncs = NULL, ...)

### Arguments

- response
- A numeric
`vector`

containing the response variable from which a function (the mean by default) is computed for plotting on the y-axis. - x.factor
- The
`factor`

to be plotted on the x-axis of each plot. - groups.factor
- The
`factor`

plotted as separate lines in each plot. - trace.factor
- The
`factor`

for whose`levels`

there are separate plots. - data
- A
`data.frame`

containing the three`factors`

and the`response`

. - fun
- The
`function`

to be computed from the`response`

for each combination of the three factors`x.factor`

,`groups.factor`

and`trace.factor`

. By default, the mean is computed for each combination. - title
- Title for plot window. By default it is "A:B:C Interaction Plot".
- xlab
`Label`

for the x-axis. By default it is the name of the`x.factor`

.- ylab
`Label`

for the y-axis. By default it is the name of the`response`

.- key.title
`Label`

for the key (legend) to the lines in each plot. By default it is the name of the`groups.factor`

.- lwd
- The width of the
`lines`

. By default it is 4. - columns
- The number of columns for arranging the several plots for the levels of the
`groups.factor`

. By default it is 2. - ggplotFuncs
- A
`list`

, each element of which contains the results of evaluating a`ggplot`

function. It is created by calling the`list`

function with a`ggplot`

function call for each element. - ...
- Other arguments that are passed down to
`ggplot`

methods.

### See Also

`fac.combine`

in package dae, `interaction.plot`

.

### Examples

## Not run: ## plot for Example 14.1 from Mead, R. (1990). The Design of Experiments: ## Statistical Principles for Practical Application. Cambridge, ## Cambridge University Press. ## use ?SPLGrass.dat for details data(SPLGrass.dat) interaction.ABC.plot(Main.Grass, x.factor=Period, groups.factor=Spring, trace.factor=Summer, data=SPLGrass.dat, title="Effect of Period, Spring and Summer on Main Grass") ## plot for generated data ## use ?ABC.Interact.dat for data set details data(ABC.Interact.dat) ## Add standard errors for plotting ## - here data contains a single value for each combintion of A, B and C ## - need to supply name for data twice ABC.Interact.dat$se <- rep(c(0.5,1), each=4) interaction.ABC.plot(MOE, A, B, C, data=ABC.Interact.dat, ggplotFunc=list(geom_errorbar(data=ABC.Interact.dat, aes(ymax=MOE+se, ymin=MOE-se), width=0.2))) ## End(Not run)

Documentation reproduced from package dae, version 2.7-6. License: GPL (>= 2)