mmc.mean

From HH v3.1-42 by Richard Heiberger

MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design.

Constructs a "mmc.multicomp" object from the sufficient statistics for a one-way design. The object must be explicitly plotted. This is the S-Plus version. See ?aovSufficient for R

Usage

multicomp.mean(group, n, ybar, s, alpha=.05,  ## S-Plus
               ylabel="ylabel", focus.name="focus.factor", plot=FALSE,
               lmat, labels=NULL, ...,
               df=sum(n) - length(n),
               sigmahat=(sum((n-1)*s^2) / df)^.5)
multicomp.mmc.mean(group, n, ybar, s, ylabel, focus.name,  ## S-Plus
                   lmat,
                   ...,
                   comparisons="mca",
                   lmat.rows=seq(length=length(ybar)),
                   ry,
                   plot=TRUE,
                   crit.point,
                   iso.name=TRUE,
                   estimate.sign=1,
                   x.offset=0,
                   order.contrasts=TRUE,
                   method="tukey",
                   df=sum(n)-length(n),
                   sigmahat=(sum((n-1)*s^2)/df)^.5)

Arguments

group: character vector of levels
n: numeric vector of sample sizes
ybar: vector of group means
s: vector of group standard deviations
alpha: Significance levels of test
ylabel: name of response variable
focus.name: name of factor
plot: logical. Should the "mmc.multicomp" object be automatically plotted? ignored in R.
lmat: lmat from multicomp in S-Plus or t(linfct) from glht in R.
labels: labels argument for multicomp in S-Plus. Not used in R.
method: method for critical point calculation. This corresponds to method in S-Plus multicomp and to type in R glht
df: scalar, residual degrees of freedom
sigmahat: sqrt(MSE) from the ANOVA table
…: other arguments
comparisons: argument to S-Plus multicomp only.
estimate.sign, order.contrasts, lmat.rows: See lmat.rows in mmc.
ry: See argument ry.mmc in plot.mmc.multicomp.
crit.point: See argument crit.point in S-Plus
iso.name, x.offset: See plot.mmc.multicomp.

Value

multicomp.mmc.mean returns a "mmc.multicomp" object.

multicomp.mean returns a "multicomp" object.

Note

The multiple comparisons calculations in R and S-Plus use completely different functions. MMC plots in R are constructed by mmc based on

References

Heiberger, Richard M. and Holland, Burt (2015). Statistical Analysis and Data Display: An Intermediate Course with Examples in R. Second Edition. Springer-Verlag, New York. https://www.springer.com/us/book/9781493921218

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

Hsu, J. and Peruggia, M. (1994). "Graphical representations of Tukey's multiple comparison method." Journal of Computational and Graphical Statistics, 3:143--161.

Documentation reproduced from package HH, version 3.1-42, License: GPL (>= 2)

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