mmc.mean

0th

Percentile

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 (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, 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.

Aliases
  • mmc.mean
  • multicomp.mean
  • multicomp.mmc.mean
Documentation reproduced from package HH, version 3.1-37, License: GPL (>= 2)

Community examples

Looks like there are no examples yet.