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mmcisomeans

Functions used by mmcplot.

Description

Functions used by mmcplot.

Usage

mmcisomeans(mmc, col=c("black","red"), lwd=c(1,1), lty=c(2,1),
            type = "mca", xlim = NULL, ylim = NULL, ...,
            axis.right=2.2,
            ylab=paste(
              mmc$none$ylabel, "means",
              " | ",
              mmc$none$focus, "level"),
            ylab.right=NULL,
            xlab="contrast value",
            contrast.label=TRUE,
            means.height=TRUE)

mmcmatch(mmc, col=c("black","red"), lwd=c(1,1), lty=c(2,1),
         type = "mca", xlim = NULL, ylim = NULL, ...,
         axis.right=2.2,
         ylab=NULL,
         ylab.right=NULL,
         xlab="contrast value",
         contrast.label=TRUE,
         xlim.match=(type != "none"))

mmcboth(mmc, col=c("black","red"), lwd=c(1,1), lty=c(2,1),
        type = "mca", h = c(0.7, 0.3), xlim = NULL, ylim = NULL, ...,
        ylab.right=NULL, MMCname="MMC", Tiebreakername="Tiebreaker")

Arguments

`mmc`	`mmc` object or other object as indicated by method.
`type`	One of `c("mca", "lmat", "linfct", "none")`. For the default `"mca"`, an MMC plot is drawn of the pairwise contrasts. For `"lmat"` or `"linfct"`, an MMC plot is drawn of the contrasts specified to `mmc` in the `lmat` or `linfct` argument. For `"none"`, a confidence interval plot for the group means is drawn.
`h`	`h` argument for `resizePanels`.
`xlim, ylim, xlab, ylab, ylab.right`	Standard `xyplot` arguments.
`col, lwd, lty`	Standard `xyplot` arguments applied to the line segments representing the contrasts.
`...`	Other arguments, to be forwarded to methods.
`axis.right`	Value used internally for `par.settings=list(layout.widths=list(axis.right=axis.right))`. The user may need to set this in two circumstances. First, if the contrast names overflow the right edge of the plotting window, then use a larger value than the default. Second, if there is a `ylab.right` and it is too far away from the figure, then use a smaller value than the default.
`contrast.label`	Logical. The default `TRUE` means place the word `contrasts` at the bottom of the right axis under the tick labels. `FALSE` means don't place anything there.
`MMCname, Tiebreakername`	Panel names when `mmcplot` is used with `style="both"`.
`xlim.match`	Logical. If `TRUE`, use `xlim` based on the contrasts in the `mca` component. If `FALSE`, use `xlim` based on the values of the estimates in the current component.
`means.height`	Logical, with default value `TRUE`. When `TRUE`, then display the values of the group means as the left axis tick labels.

Value

A "trellis" object.

Author(s)

Richard M. Heiberger <rmh@temple.edu>

References

See mmc for the references.

Examples

## Not run: 
  ## these examples exercise all optional arguments
data(catalystm)
catalystm1.aov <- aov(concent ~ catalyst, data=catalystm)

catalystm.glht <-
   glht(catalystm1.aov, linfct = mcp(catalyst = "Tukey"))
confint(catalystm.glht)

plot(catalystm.glht)  ## this is the multcomp:::plot.glht

mmcplot(catalystm.glht)  ## mmcplot.glht sends its argument to HH:::as.multicomp.glht with
## the default arguments (estimate.sign = 1, order.contrasts = TRUE) unless overridden:
##
mmcplot(catalystm.glht, order.contrasts=FALSE, estimate.sign=0, main="B'")

catalystm.lmat <- cbind("AB-D" =c(1, 1, 0,-2),
                        "A-B"  =c(1,-1, 0, 0),
                        "ABD-C"=c(1, 1,-3, 1))
dimnames(catalystm.lmat)[[1]] <- levels(catalystm$catalyst)
catalystm.mmc <-
   mmc(catalystm1.aov,
       linfct = mcp(catalyst = "Tukey"),
       focus.lmat=catalystm.lmat)

mmcplot(catalystm.mmc, type="mca",  style="confint")
mmcplot(catalystm.mmc, type="lmat", style="confint")
mmcplot(catalystm.mmc, type="none", style="confint")
mmcplot(catalystm.mmc, type="none", style="confint", xlim.match=FALSE,
        main="xlim.match=FALSE is default for none confint")
mmcplot(catalystm.mmc, type="none", style="confint", xlim.match=TRUE, main="out of bounds")

mmcplot(catalystm.mmc$mca,  style="confint")
mmcplot(catalystm.mmc$lmat, style="confint")
mmcplot(catalystm.mmc$none, style="confint")

plot(catalystm.mmc) ## HH:::plot.mmc.multicomp method

mmcplot(catalystm.mmc)

mmcplot(catalystm.mmc)
mmcplot(catalystm.mmc, style="isomeans")
mmcplot(catalystm.mmc, style="confint")
mmcplot(catalystm.mmc, style="both")

mmcplot(catalystm.mmc, style="isomeans", type="mca")
mmcplot(catalystm.mmc, style="isomeans", type="lmat")
mmcplot(catalystm.mmc, style="isomeans", type="linfct")
mmcplot(catalystm.mmc, style="isomeans", type="none")
mmcplot(catalystm.mmc, style="isomeans", type="none", xlim.match=FALSE)

mmcplot(catalystm.mmc, style="confint",  type="mca")
mmcplot(catalystm.mmc, style="confint",  type="lmat")
mmcplot(catalystm.mmc, style="confint",  type="linfct")
mmcplot(catalystm.mmc, style="confint",  type="none")
mmcplot(catalystm.mmc, style="confint",  type="none", xlim.match=FALSE)

mmcplot(catalystm.mmc, style="both",     type="mca")
mmcplot(catalystm.mmc, style="both",     type="lmat")
mmcplot(catalystm.mmc, style="both",     type="linfct")
mmcplot(catalystm.mmc, style="both",     type="none")
mmcplot(catalystm.mmc, style="both",     type="none", xlim.match=FALSE)

mmcplot(catalystm.mmc$mca)
mmcplot(catalystm.mmc$mca$glht)
mmcplot(catalystm.mmc$none)
mmcplot(catalystm.mmc$none$glht)
mmcplot(catalystm.mmc$lmat)
mmcplot(catalystm.mmc$lmat$glht)

mmcplot(catalystm.mmc, type="none")
mmcplot(catalystm.mmc, type="none", xlim.match=FALSE)
mmcplot(catalystm.mmc$none)

## 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