% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/Season.R
\name{Season}
\alias{Season}
\title{Computes Seasonal Means}
\usage{
Season(var, posdim = 4, monini, moninf, monsup)
}
\arguments{
\item{var}{Array containing the timeseries along one of its dimensions.}

\item{posdim}{Dimension along which to compute seasonal means = Time 
dimension.}

\item{monini}{an integer indicating the first month of the time series: 1 to 
12.}

\item{moninf}{an integer indicating the month when to start the seasonal 
means: 1 to 12.}

\item{monsup}{an integer indicating the month when to stop the seasonal 
means: 1 to 12.}
}
\value{
Array with the same dimensions as var except along the posdim 
 dimension whose length corresponds to the number of seasons. Partial 
 seasons are not accounted for.
}
\description{
Computes seasonal means on timeseries organized in a array of any number of 
dimensions up to 10 dimensions where the time dimension is one of those 10 
dimensions.
}
\examples{
# Load sample data as in Load() example:
example(Load)
leadtimes_dimension <- 4
initial_month <- 11
mean_start_month <- 12
mean_stop_month <- 2
season_means_mod <- Season(sampleData$mod, leadtimes_dimension, initial_month,
                          mean_start_month, mean_stop_month)
season_means_obs <- Season(sampleData$obs, leadtimes_dimension, initial_month,
                          mean_start_month, mean_stop_month)
 \donttest{
PlotAno(season_means_mod, season_means_obs, startDates, 
       toptitle = paste('winter (DJF) temperatures'), ytitle = c('K'), 
       legends = 'ERSST', biglab = FALSE, fileout = 'tos_season_means.eps')
 }
}
\author{
History:\cr
0.1  -  2011-03  (V. Guemas)  -  Original code\cr
1.0  -  2013-09  (N. Manubens)  -  Formatting to CRAN
}
\keyword{datagen}
