\name{RatioSDRMS}
\alias{RatioSDRMS}
\title{
  Computes The Ratio Between the Ensemble Spread and the RMSE of the Ensemble Mean
}
\description{
  Matrices var_exp & var_obs should have dimensions
    between c(nmod/nexp, nmemb/nparam, nsdates, nltime)
    and     c(nmod/nexp, nmemb/nparam, nsdates, nltime, nlevel, nlat, nlon)
  The ratio between the standard deviation of the members around the ensemble 
  mean in var_exp and the RMSE between var_exp and var_obs is output for each 
  experiment and each observational dataset.
  The p-value is provided by a one-sided Fischer test.
}
\usage{
  RatioSDRMS(var_exp, var_obs)
}
\arguments{
  \item{var_exp}{
    Model data:
      c(nmod/nexp, nmemb/nparam, nsdates, nltime) up to
      c(nmod/nexp, nmemb/nparam, nsdates, nltime, nlevel, nlat, nlon)
  }
  \item{var_obs}{
    Observational data:
      c(nobs, nmemb, nsdates, nltime) up to
      c(nobs, nmemb, nsdates, nltime, nlevel, nlat, nlon)
  }
}
\value{
  Matrix with dimensions c(nexp/nmod, nobs, 2, nltime) up to
    c(nexp/nmod, nobs, 2, nltime, nlevel, nlat, nlon) dimensions.
  The dimension 2 corresponds to the ratio (SD/RMSE) and the p.value of the 
  one-sided Fisher test with Ho: SD/RMSE = 1.
}
\author{
  History:
  0.1  -  2011-12  (V. Guemas, \email{virginie.guemas@ic3.cat})  -  Original code
  1.0  -  2013-09  (N. Manubens, \email{nicolau-manubens@ic3.cat})  -  Formatting to CRAN
}
\keyword{datagen}
