\HeaderA{mean.utils}{calculate attributes relative to the mean of the observation series given, including geometric, stderr, LCL and UCL}{mean.utils}
\aliasA{mean.geometric}{mean.utils}{mean.geometric}
\aliasA{mean.LCL}{mean.utils}{mean.LCL}
\aliasA{mean.stderr}{mean.utils}{mean.stderr}
\aliasA{mean.UCL}{mean.utils}{mean.UCL}
\keyword{ts}{mean.utils}
\keyword{multivariate}{mean.utils}
\keyword{distribution}{mean.utils}
\keyword{models}{mean.utils}
\begin{Description}\relax
\Tabular{ll}{
\code{\LinkA{mean.geometric}{mean.geometric}} & geometric mean \\
\code{\LinkA{mean.stderr}{mean.stderr}} & standard error of the mean (S.E. mean) \\
\code{\LinkA{mean.LCL}{mean.LCL}} & lower confidence level (LCL) of the mean \\
\code{\LinkA{mean.UCL}{mean.UCL}} & upper confidence level (UCL) of the mean \\
}
\end{Description}
\begin{Usage}
\begin{verbatim}
## S3 method for class 'geometric':
mean(x, ...)
## S3 method for class 'stderr':
mean(x, ...)
## S3 method for class 'UCL':
mean(x,  ci = 0.95, ...)
## S3 method for class 'LCL':
mean(x,  ci = 0.95, ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{x}] a vector, matrix, data frame, or time series to calculate the modified mean statistic over 
\item[\code{ci}] the confidence interval to use 
\item[\code{...}] any other passthru parameters 
\end{ldescription}
\end{Arguments}
\begin{Value}
numeric value for the mean function called
\end{Value}
\begin{Author}\relax
Peter Carl
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{sd}{sd}} \\
\code{\LinkA{mean}{mean}}
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
data(edhec)
mean.geometric(edhec[,"Funds of Funds"])
mean.stderr(edhec[,"Funds of Funds"])
mean.UCL(edhec[,"Funds of Funds"])
mean.LCL(edhec[,"Funds of Funds"])
\end{ExampleCode}
\end{Examples}

