% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/season.R
\name{ma}
\alias{ma}
\title{Moving-average smoothing}
\usage{
ma(x, order, centre = TRUE)
}
\arguments{
\item{x}{Univariate time series}

\item{order}{Order of moving average smoother}

\item{centre}{If TRUE, then the moving average is centred for even orders.}
}
\value{
Numerical time series object containing the simple moving average
smoothed values.
}
\description{
\code{ma} computes a simple moving average smoother of a given time series.
}
\details{
The moving average smoother averages the nearest \code{order} periods of
each observation. As neighbouring observations of a time series are likely
to be similar in value, averaging eliminates some of the randomness in the
data, leaving a smooth trend-cycle component. \deqn{\hat{T}_{t} =
\frac{1}{m} \sum_{j=-k}^k
y_{t+j}}{T[t]=1/m(y[t-k]+y[t-k+1]+\ldots+y[t]+\ldots+y[t+k-1]+y[t+k])} where
\eqn{k=\frac{m-1}{2}}{k=(m-1)/2}

When an even \code{order} is specified, the observations averaged will
include one more observation from the future than the past (k is rounded
up). If centre is TRUE, the value from two moving averages (where k is
rounded up and down respectively) are averaged, centering the moving
average.
}
\examples{

plot(wineind)
sm <- ma(wineind,order=12)
lines(sm,col="red")

}
\seealso{
\code{\link[stats]{decompose}}
}
\author{
Rob J Hyndman
}
\keyword{ts}
