\HeaderA{ftable}{Cross-tabulation of predicted and true class labels}{ftable}
\aliasA{ftable,cloutput-method}{ftable}{ftable,cloutput.Rdash.method}
\keyword{multivariate}{ftable}
\begin{Description}\relax
An object of class \code{\LinkA{cloutput}{cloutput}} contains (among others)
the slot \code{y} and \code{yhat}. The former contains the true,
the last the predicted class labels. Both are cross-tabulated in
order to obtain a so-called confusion matrix. Counts out of the
diagonal are misclassifications.
\end{Description}
\begin{Arguments}
\begin{ldescription}
\item[\code{x}] An object of class \code{\LinkA{cloutput}{cloutput}}
\item[\code{...}] Currently unused argument.
\end{ldescription}
\end{Arguments}
\begin{Value}
No return.
\end{Value}
\begin{Author}\relax
Martin Slawski \email{martin.slawski@campus.lmu.de}

Anne-Laure Boulesteix \url{http://www.slcmsr.net/boulesteix}
\end{Author}
\begin{SeeAlso}\relax
For more advanced evaluation: \code{\LinkA{evaluation}{evaluation}}
\end{SeeAlso}

