HH (version 2.1-15)

as.multicomp: Support functions in R for MMC (mean--mean multiple comparisons) plots.

Description

MMC plots: In R, functions used to interface the glht in R to the MMC functions designed with S-Plus multicomp notation. These are all internal functions that the user doesn't see.

Usage

## S3 method for class 'mmc.multicomp':
print(x, ...)

## S3 method for class 'multicomp':
print(x, ...)

## print.multicomp.hh(x, digits = 4, ..., height=T) ## S-Plus only

## S3 method for class 'multicomp.hh':
print(x, ...) ## R only

print.glht.mmc.multicomp(x, ...) ## R.  yes, spell it out.

as.multicomp(x, ...)

## S3 method for class 'glht':
as.multicomp(x,       ## glht object
           focus,   ## currently required
           ylabel=deparse(terms(x$model)[[2]]),
           means=model.tables(x$model, type="means",
                              cterm=focus)$tables[[focus]],
           height,
           lmat=t(x$linfct),
           lmat.rows=-1,
           lmat.scale.abs2=TRUE,
           estimate.sign=1,
           order.contrasts=TRUE,
           contrasts.none=FALSE,
           level=0.95,
           calpha=NULL,
           method=x$type,
           df,
           vcov.,
           ...
           )

as.glht(x, ...)

## S3 method for class 'multicomp':
as.glht(x, ...)

Arguments

x
"glht" object for as.multicomp. A "mmc.multicomp" object for print.mmc.multicomp and print.glht.mmc.multicomp. A "multicomp" object for as.glht and <
...
other arguments.
focus
name of focus factor.
ylabel
response variable name on the graph.
means
means of the response variable on the focus factor.
lmat, lmat.rows
lmat.scale.abs2
logical, almost always TRUE. If it is not TRUE, then the contrasts will not be properly placed on the MMC plot.
estimate.sign
numeric. 1: force all contrasts to be positive by reversing negative contrasts. $-1$: force all contrasts to be negative by reversing positive contrasts. Leave contrasts as they are constructed by glht.
order.contrasts, height
logical. If TRUE, order contrasts by height (see MMC).
contrasts.none
logical. This is an internal detail. The ``contrasts'' for the group means are not real contrasts in the sense they don't compare anything. glht.mmc.glht sets this argument to TRUE for the none comp
level
Confidence level. Defaults to 0.95.
calpha
User-specified critical point. See confint.glht.hh and confint.glht.
df, vcov.
Arguments forwarded through glht to modelparm.
method
See type in confint.glht.

Value

  • as.multicomp is a generic function to change its argument to a "multicomp" object. as.multicomp.glht changes an "glht" object to a "multicomp" object. If the model component of the argument "x" is an "aov" object then the standard error is taken from the anova(x$model) table, otherwise from the summary(x). With a large number of levels for the focus factor, the summary(x) function is exceedingly slow (80 minutes for 30 levels on 1.5GHz Windows XP). For the same example, the anova(x$model) takes a fraction of a second.

Details

The mmc.multicomp print method displays the confidence intervals and heights on the MMC plot for each component of the mmc.multicomp object. print.multicomp displays the confidence intervals and heights for a single component. print.glht.mmc.multicomp(x, ...) uses print.glht on each component of a mmc.multicomp object and therefore prints only the estimates of the comparisons.

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. Heiberger, R.~M. and Holland, B. (2006). "Mean--mean multiple comparison displays for families of linear contrasts." Journal of Computational and Graphical Statistics, 15:937--955.

See Also

mmc, glht in R, multicomp in S-Plus.