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  The presence of ties always generates a warning, since continuous
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  The presence of ties always generates a warning, since continuous
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  distributions do not generate them.  If the ties arose from rounding
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  distributions do not generate them.  If the ties arose from rounding
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  the tests may be approximately valid, but even modest amounts of
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  the tests may be approximately valid, but even modest amounts of
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  rounding can have a significant effect on the calculated statistic.
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  rounding can have a significant effect on the calculated statistic.
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  Missing values are silently omitted from \code{x} and (in the
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  Missing values are silently omitted from \code{x} and (in the
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  two-sample case) \code{y}.
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  two-sample case) \code{y}.
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  The possible values \code{"two.sided"}, \code{"less"} and
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  The possible values \code{"two.sided"}, \code{"less"} and
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  \code{"greater"} of \code{alternative} specify the null hypothesis
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  \code{"greater"} of \code{alternative} specify the null hypothesis
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  that the true distribution function of \code{x} is equal to, not less
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  that the true distribution function of \code{x} is equal to, not less
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  than or not greater than the hypothesized distribution function
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  than or not greater than the hypothesized distribution function
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  (one-sample case) or the distribution function of \code{y} (two-sample
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  (one-sample case) or the distribution function of \code{y} (two-sample
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  Thus in the two-sample case \code{alternative = "greater"} includes
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  Thus in the two-sample case \code{alternative = "greater"} includes
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  distributions for which \code{x} is stochastically \emph{smaller} than
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  distributions for which \code{x} is stochastically \emph{smaller} than
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  \code{y} (the CDF of \code{x} lies above and hence to the left of that
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  \code{y} (the CDF of \code{x} lies above and hence to the left of that
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  for \code{y}), in contrast to \code{\link{t.test}} or
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  for \code{y}), in contrast to \code{\link{t.test}} or
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  \code{\link{wilcox.test}}.
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  \code{\link{wilcox.test}}.
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  Exact p-values are not available for the two-sample case if one-sided
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  Exact p-values are not available for the two-sample case if one-sided
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  or in the presence of ties.  If \code{exact = NULL} (the default), an
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  or in the presence of ties.  If \code{exact = NULL} (the default), an
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  exact p-value is computed if the sample size is less than 100 in the
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  exact p-value is computed if the sample size is less than 100 in the
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  one-sample case \emph{and there are no ties}, and if the product of
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  one-sample case \emph{and there are no ties}, and if the product of
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  the sample sizes is less than 10000 in the two-sample case.
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  the sample sizes is less than 10000 in the two-sample case.