\HeaderA{norm}{Data Normalization}{norm}
\keyword{misc}{norm}
\begin{Description}\relax
Normalizes data \code{x} using the following code : \eqn{(x-\min(x))/(\max(x-min(x)))}{(x-min(x))/(\max(x-min(x)))}.
\end{Description}
\begin{Usage}
\begin{verbatim}norm(x)\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{x}] A data.frame or matrix or vector containing the data to be normalized. In this package the \code{norm} method is used to 
normalize the network's weighted adjacency matrices.
\end{ldescription}
\end{Arguments}
\begin{Value}
\code{norm} returns the data.frame \code{x} with normalized values (i.e. values ranging from 0 to 1)
\end{Value}
\begin{Examples}
\begin{ExampleCode}
data <- runif(100,-10,10)
ndata <- norm(data)
\end{ExampleCode}
\end{Examples}

