\HeaderA{p\_inertia}{Test of MCA's percentages of inertia}{p.Rul.inertia}
\begin{Description}\relax
This function creates new data sets and performs MCA on them. It then keeps the percentages of inertia and calculates the means and the associated p-values on the first two dimensions.
\end{Description}
\begin{Usage}
\begin{verbatim}
p_inertia(dataset)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{dataset}] a data frame
\end{ldescription}
\end{Arguments}
\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)
p_inertia(tea[,1:5])
## End(Not run)
\end{ExampleCode}
\end{Examples}

