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=lmatRows(x, focus),
           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

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.