# mmcplot

##### MMC (Mean-mean Multiple Comparisons) plots in lattice.

MMC (Mean--mean Multiple Comparisons) plots in lattice

- Keywords
- hplot

##### Usage

```
mmcplot(mmc, ...)
# S3 method for mmc
mmcplot(mmc, col=c("black","red"), lwd=c(1,1), lty=c(2,1), ...,
style=c("isomeans", "confint", "both"),
type=c("mca", "lmat", "linfct", "none"))
# S3 method for glht
mmcplot(mmc, col=c("black","red"), lwd=c(1,1), lty=c(2,1),
focus=mmc$focus, ...)
# S3 method for mmc.multicomp
mmcplot(mmc, col=c("black","red"), lwd=c(1,1), lty=c(2,1), ...)
# S3 method for multicomp
mmcplot(mmc, col=c("black","red"), lwd=c(1,1), lty=c(2,1), ...)
# S3 method for default
mmcplot(mmc, ...)
```

##### Arguments

- mmc
`mmc`

object or other object as indicated by method.- col, lwd, lty
Standard

`xyplot`

arguments applied to the line segments representing the contrasts.- focus
Name of the factor for which the

`glht`

object was constructed.- …
Other arguments to be passed on to the functions called by the methods.

- style
Style of graph: The default

`isomeans`

is the standard MMC plot with the isomeans grid.`confint`

is a confidence interval plot, similar to the plot produced by`multcomp:::plot.glht`

.`both`

prints both the`isomeans`

and the`confint`

plot as two panels of a`trellis`

structure. When the underlying sets of means are close to each other, there will of necessity be overprinting in the`isomeans`

panel and the`confint`

panel will be needed as a tiebreaker. By default the`xlim`

for the`confint`

style will match the`xlim`

of the corresponding`isomeans`

plot.- type
`mca`

for the default paired-comparisons plot.`lmat`

or`linfct`

for a user-specified set of contrasts.`none`

for confidence intervals on the set of group means (that is, no comparisons).

##### Value

A `trellis`

object containing the graphs.

##### References

See `mmc`

for the references.

##### See Also

`mmc`

for the discussion of the MMC and for many examples.
The functions `mmcisomeans`

, `mmcmatch`

,
`mmcboth`

are the internal functions that do the
actual work of plotting.

##### Examples

```
# NOT RUN {
data(catalystm)
catalystm1.aov <- aov(concent ~ catalyst, data=catalystm)
catalystm.mmc <-
mmc(catalystm1.aov, linfct = mcp(catalyst = "Tukey"))
mmcplot(catalystm.mmc)
mmcplot(catalystm.mmc, style="both", MMCname="catalyst")
# }
```

*Documentation reproduced from package HH, version 3.1-40, License: GPL (>= 2)*