\HeaderA{ENlisib}{Graph readability}{ENlisib}
\begin{Description}\relax
This function allows to improve the MCA factor map readability.
\end{Description}
\begin{Usage}
\begin{verbatim}
ENlisib(res.mca,nbvar,nbind,axes=c(1,2))
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{res.mca}] results from an MCA
\item[\code{nbvar}] chosen percentage or number for categories
\item[\code{nbind}] chosen percentage or number for individuals
\item[\code{axes}] selected axes, by default the two first axes are selected
\end{ldescription}
\end{Arguments}
\begin{Details}\relax
Categories with high v-test and individuals with high coordinates are kept. The chosen number and percentage concern individuals and categories beyond a threshold.
\end{Details}
\begin{Author}\relax
Jerome Bouche \email{jerome.bouche@yahoo.fr} \\
Marine Cadoret \email{marine.cadoret@agrocampus-ouest.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{Examples}
\begin{ExampleCode}
## Not run: 
data(tea)
res.enmca<-ENMCA(tea[,1:18])
ENlisib(res.enmca$MCA,0.05,50,c(1,2))

res<-MCA(tea[,1:18])
ENlisib(res,0.05,50,c(1,2))
## End(Not run)
\end{ExampleCode}
\end{Examples}

