# plotMeans

From Rcmdr v2.0-1
by John Fox

##### Plot Means for One or Two-Way Layout

Plots cell means for a numeric variable in each category of a factor or in each combination of categories of two factors, optionally along with error bars based on cell standard errors or standard deviations.

- Keywords
- hplot

##### Usage

```
plotMeans(response, factor1, factor2,
error.bars = c("se", "sd", "conf.int", "none"), level=0.95,
xlab = deparse(substitute(factor1)),
ylab = paste("mean of", deparse(substitute(response))),
legend.lab = deparse(substitute(factor2)), main = "Plot of Means",
pch = 1:n.levs.2, lty = 1:n.levs.2, col = palette(), ...)
```

##### Arguments

- response
- Numeric variable for which means are to be computed.
- factor1
- Factor defining horizontal axis of the plot.
- factor2
- If present, factor defining profiles of means
- error.bars
- If
`"se"`

, the default, error bars around means give plus or minus one standard error of the mean; if`"sd"`

, error bars give plus or minus one standard deviation; if`"conf.int"`

, error bars give a confiden - level
- level of confidence for confidence intervals; default is .95
- xlab
- Label for horizontal axis.
- ylab
- Label for vertical axis.
- legend.lab
- Label for legend.
- main
- Label for the graph.
- pch
- Plotting characters for profiles of means.
- lty
- Line types for profiles of means.
- col
- Colours for profiles of means
- ...
- arguments to be passed to
`plot`

.

##### Value

- The function invisibly returns
`NULL`

.

##### See Also

##### Examples

```
data(Moore, package="car")
with(Moore, plotMeans(conformity, fcategory, partner.status, ylim=c(0, 25)))
```

*Documentation reproduced from package Rcmdr, version 2.0-1, License: GPL (>= 2)*

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