\HeaderA{chart.Correlation.color}{correlation matrix chart, in color}{chart.Correlation.color}
\keyword{ts}{chart.Correlation.color}
\keyword{multivariate}{chart.Correlation.color}
\keyword{distribution}{chart.Correlation.color}
\keyword{models}{chart.Correlation.color}
\keyword{hplot}{chart.Correlation.color}
\begin{Description}\relax
Another, simpler, visualization of a Correlation Matrix, probably better for larger sets of data.
\end{Description}
\begin{Usage}
\begin{verbatim}
chart.Correlation.color(R, nrgcols = 50, labels = TRUE, labcols = 1, title ="", use = "pairwise.complete.obs", ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{R}] a vector, matrix, data frame, timeSeries or zoo object of asset returns 
\item[\code{nrgcols}] number or regularly spaced columns 
\item[\code{labels}] TRUE/FALSE use labels or not 
\item[\code{labcols}] labels to use 
\item[\code{title}] title for the plot 
\item[\code{use}] an optional character string giving a method for computing
covariances in the presence of missing values.  This must be
(an abbreviation of) one of the strings '"all.obs"',
'"complete.obs"' or '"pairwise.complete.obs"'. 
\item[\code{...}] any other passthru parameters 
\end{ldescription}
\end{Arguments}
\begin{Value}
correlation chart
\end{Value}
\begin{Note}\relax
based on chart by Sandrine Dudoit, sandrine@stat.berkeley.edu, from "SMA" library
\end{Note}
\begin{Author}\relax
Peter Carl
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{table.Correlation}{table.Correlation}} \\
\code{\LinkA{chart.Correlation}{chart.Correlation}}
\end{SeeAlso}

