\HeaderA{ENmarking}{Semantic marking on categorical variables}{ENmarking}
\begin{Description}\relax
Returns a semantic marking of categorical variables with 3 different levels (variables, pairs and triplets of categories).
\end{Description}
\begin{Usage}
\begin{verbatim}
ENmarking(dataset,var.int,proba=0.05)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{dataset}] a data frame
\item[\code{var.int}] the variable to mark
\item[\code{proba}] Threshold to select variables, pairs and triplets. By default 0.05
\end{ldescription}
\end{Arguments}
\begin{Author}\relax
Jerome Bouche \email{jerome.bouche@yahoo.fr} \\
Gwenaelle Fournier \email{gwenaelle.fournier@gmail.com} \\
Olivier Fournier \email{olivier.fournier76@gmail.com} \\
Francois Le Poder \email{francois.lepoder@gmail.com}
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{GRmarking}{GRmarking}} which is a graphical representation of the semantic marking.
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
## Not run: 
data(tea)
ENmarking(tea[,1:21],21)

res.enmca=ENMCA(tea[,1:18])
res.enmark=ENmarking(res.enmca$data,ncol(res.enmca$data))
GRmarking(res.enmark,1)
## End(Not run)
\end{ExampleCode}
\end{Examples}

