# as.multicomp

From HH v2.3-42
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##### Support functions in R for MMC (mean--mean multiple comparisons) plots.

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.

Keywords
dplot
##### 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
as.multicomp(x, ...)

## S3 method for class 'glht':
as.multicomp(x,       ## glht object
focus,   ## currently required
ylabel=deparse(terms(x$model)[]), means=model.tables(x$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,

##### Note

The multiple comparisons calculations in R and S-Plus use completely different libraries. MMC plots in R are based on#ifndef S-Plus glht. #endif #ifdef S-Plus glht. #endif MMC plots in S-Plus are based on#ifndef S-Plus multicomp. #endif #ifdef S-Plus multicomp. #endif The MMC plot is the same in both systems. The details of gettting the plot differ.

##### 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.

mmc,#ifndef S-Plus glht. #endif #ifdef S-Plus multicomp. #endif

##### Aliases
• as.multicomp
• as.multicomp.glht
• as.glht
• as.glht.multicomp
• print.mmc.multicomp
• print.mmc.multicomp
• print.multicomp
• print.multicomp.hh
Documentation reproduced from package HH, version 2.3-42, License: GPL (>= 2)

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