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\name{meansComp}
\alias{meansComp}
\title{Perform pairwise means comparisons}
\description{
Perform means comparisons and give groups of means that are not significantly different.
}
\usage{
meansComp(object, spec, graph=TRUE, ...)
}
\arguments{
\item{object}{A fitted model object that is supported, such as the result of a call to LinearModel, lm or aov.}
\item{spec}{A character vector specifying the names of the predictors over which means comparisons are desired. specs may also be a formula or a list (optionally named) of valid specs. Use of formulas is described in the Overview section below.}
\item{graph}{Boolean; plot the graph to compare the means.}
\item{\dots}{other arguments, cf the function \code{emmeans}.}
}
\author{Francois Husson \email{husson@agrocampus-ouest.fr}}
\seealso{ \code{\link{plot.meansComp}}}
\examples{
data(senso)
res <- LinearModel(Score~ Product + Day , data=senso, selection="none")
meansComp(res,spec="Product")
\dontrun{
## or equivalently
meansComp(res, ~Product)
## and with the sidak correction
meansComp(res,~Product,adjust="sidak")
}}
\keyword{models}
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