\Header{pairwise.wilcox.test}{Pairwise Wilcoxon rank sum tests}
\keyword{htest}{pairwise.wilcox.test}
\begin{Description}\relax
Calculate pairwise comparisons between group levels with corrections
for multiple testing.
\end{Description}
\begin{Usage}
\begin{verbatim}
pairwise.wilcox.test(x, g, p.adjust.method=p.adjust.methods, ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{x}] Response vector 
\item[\code{g}] Grouping vector or factor 
\item[\code{p.adjust.method}] Method for adjusting p values (see
\code{\Link{p.adjust}}) 
\item[\code{...}] Additional arguments to pass to \code{\Link{wilcox.test}}.
\end{ldescription}
\end{Arguments}
\begin{Value}
Object of class \code{"pairwise.htest"}
\end{Value}
\begin{SeeAlso}\relax
\code{\Link{wilcox.test}}, \code{\Link{p.adjust}}
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
data(airquality)
attach(airquality)
Month <- factor(Month, labels = month.abb[5:9])
## These give warnings because of ties :
pairwise.wilcox.test(Ozone, Month)
pairwise.wilcox.test(Ozone, Month, p.adj = "bonf")
detach()
\end{ExampleCode}
\end{Examples}

