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% File src/library/stats/man/oneway.test.Rd
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% File src/library/stats/man/oneway.test.Rd
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% Part of the R package, https://www.R-project.org
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% Part of the R package, https://www.R-project.org
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% Copyright 1995-2018 R Core Team
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% Copyright 1995-2025 R Core Team
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% Distributed under GPL 2 or later
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% Distributed under GPL 2 or later
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\name{oneway.test}
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\name{oneway.test}
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\alias{oneway.test}
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\alias{oneway.test}
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\title{Test for Equal Means in a One-Way Layout}
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\title{Test for Equal Means in a One-Way Layout}
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    \code{getOption("na.action")}.}
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    \code{getOption("na.action")}.}
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  \item{var.equal}{a logical variable indicating whether to treat the
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  \item{var.equal}{a logical variable indicating whether to treat the
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    variances in the samples as equal.  If \code{TRUE}, then a simple F
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    variances in the samples as equal.  If \code{TRUE}, then a simple F
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    test for the equality of means in a one-way analysis of variance is
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    test for the equality of means in a one-way analysis of variance is
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    performed.  If \code{FALSE}, an approximate method of
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    performed.  If \code{FALSE}, an approximate method of
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    \bibcite{Welch (1951)}
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    \bibcitet{R:Welch:1951}
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    is used, which generalizes the commonly known 2-sample \I{Welch} test to
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    is used, which generalizes the commonly known 2-sample \I{Welch} test to
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    the case of arbitrarily many samples.}
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    the case of arbitrarily many samples.}
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}
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}
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\value{
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\value{
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  A list with class \code{"htest"} containing the following components:
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  A list with class \code{"htest"} containing the following components:
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\details{
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\details{
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  If the right-hand side of the formula contains more than one term,
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  If the right-hand side of the formula contains more than one term,
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  their interaction is taken to form the grouping.
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  their interaction is taken to form the grouping.
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}
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}
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\references{
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\references{
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  B. L. Welch (1951).
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  On the comparison of several mean values: an alternative approach.
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  \emph{Biometrika}, \bold{38}, 330--336.
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  \doi{10.2307/2332579}.
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  \bibshow{*}
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}
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}
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\seealso{
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\seealso{
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  The standard t test (\code{\link{t.test}}) as the special case for two
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  The standard t test (\code{\link{t.test}}) as the special case for two
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  samples;
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  samples;
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  the Kruskal-Wallis test \code{\link{kruskal.test}} for a nonparametric
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  the Kruskal-Wallis test \code{\link{kruskal.test}} for a nonparametric