\name{Ano_CrossValid}
\alias{Ano_CrossValid}
\title{Computes Anomalies In Cross-Validation Mode}
\description{
This function computes anomalies from experimental and observational matrices output from \code{load()} by subtracting the climatologies computed in a cross-validation mode and with a per-pair method.
}
\usage{
Ano_CrossValid(var_exp, var_obs, memb = TRUE)
}
\arguments{
  \item{var_exp}{
Model data:\cr
  c(nmod/nexp, nmemb/nparam, nsdates, nltime) up to\cr
  c(nmod/nexp, nmemb/nparam, nsdates, nltime, nlevel, nlat, nlon)
  }
  \item{var_obs}{
Observational data:\cr
  c(nobs, nmemb, nsdates, nltime) up to\cr
  c(nobs, nmemb, nsdates, nltime, nlevel, nlat, nlon)
  }
  \item{memb}{
memb: TRUE/FALSE (1 climatology for each member/1 climatology averaging all the members).\cr
Default = TRUE.
  }
}
\value{
  \item{$ano_exp}{Matrix with same dimensions as var_exp}
  \item{$ano_obs}{Matrix with same dimensions as var_obs}
}
\examples{
# Load sample data as in Load() example:
example(Load)
anomalies <- Ano_CrossValid(sampleData$mod, sampleData$obs)
PlotAno(anomalies$ano_exp, anomalies$ano_obs, startDates, 
        toptitle = paste('anomalies'), ytitle = c('K', 'K', 'K'), 
        legends = 'ERSST', biglab = FALSE, fileout = 'tos_ano_crossvalid.eps')
}
\author{
History:\cr
0.1  -  2011-12  (V. Guemas, \email{virginie.guemas@ic3.cat})  -  Original code\cr
1.0  -  2013-09  (N. Manubens, \email{nicolau.manubens@ic3.cat})  -  Formatting to CRAN
}
\keyword{datagen}
