HH (version 3.1-47)

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

Description

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.

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://link.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.