\Header{table}{Cross Tabulation}
\keyword{category}{table}
\begin{Usage}
\begin{verbatim}
table(..., exclude = c(NA, NaN))
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\texttt{...}] objects which can be interpreted as factors (including
character strings), or a list (or data frame) whose components can
be so interpreted
\item[\texttt{exclude}] values to use in the exclude argument of \texttt{factor}
when interpreting non-factor objects
\end{ldescription}
\end{Arguments}
\begin{Description}
\texttt{table} uses the cross-classifying factors to build a contingency
table of the counts at each combination of factor levels.\end{Description}
\begin{Examples}
\begin{ExampleCode}
## Simple frequency distribution
table(rpois(100,5))
data(warpbreaks)
attach(warpbreaks)
## Check the design:
table(wool, tension)
data(state)
table(state.division, state.region)

data(airquality)
attach(airquality)
# simple two-way contingency table
table(cut(Temp, quantile(Temp)), Month)
\end{ExampleCode}
\end{Examples}

