R/quality.r

In multisensi: Multivariate Sensitivity Analysis

# Multisensi R package ; file quality.r (last modified: 2015-09-14) 
# Authors: C. Bidot, M. Lamboni, H. Monod
# Copyright INRA 2011-2018 
# MaIAGE, INRA, Univ. Paris-Saclay, 78350 Jouy-en-Josas, France
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# More about multisensi in https://CRAN.R-project.org/package=multisensi
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#===========================================================================
quality <- function(echsimul,echsimul.app)
#===========================================================================
{
  ## calcule le biais, le coef. de determination, le lof

  ## INPUTS
  ## echsimul     : ARRAY des sorties ou matrice des sorties Y
  ## echsimul.app : sortie du modele approxime 

  ## OUTPUTS
  ## moy.biais    : biais integre (moyenne par colonne des biais)
  ## coef.det     : coefficient de determination R2
  ## residuals    : biais

  ## calcul de la moyenne de Y initiales
  moy.Y <- colMeans(echsimul)
  #colMeans et colSums + rapides que apply

  ## moyenne de Y sous forme matricielle
  moy.Ymat <- t(matrix(rep(moy.Y,nrow(echsimul)),ncol(echsimul),nrow(echsimul)))

  ## calcul du biais
  biais <- echsimul-echsimul.app
  moy.biais <- colMeans(biais)

  ##calcul du coefficient de determination
  ##  = 1 - SSresidus/SStotal
  coef.det <- 1 - colSums((biais)^2)/colSums((echsimul-moy.Ymat)^2)

  ## renvoi des sorties
  return(list(moy.biais=moy.biais,coef.det=coef.det,residuals=biais))
}