X-Git-Url: https://git.auder.net/?a=blobdiff_plain;ds=sidebyside;f=pkg%2FR%2Fmain.R;h=89c4bcdd17004b6165042910a0ddbf2cbfb43a57;hb=9fadef2bff80d4b0371962dea4b6de24086f230b;hp=695a23ffa782ec56ef2151c2b21a2481ed127a6d;hpb=bb11d873bee8f9560b4b77a304d035be6a69f440;p=valse.git

diff --git a/pkg/R/main.R b/pkg/R/main.R
index 695a23f..89c4bcd 100644
--- a/pkg/R/main.R
+++ b/pkg/R/main.R
@@ -131,9 +131,23 @@ print(tableauRecap)
 
   mod = as.character(tableauRecap[indModSel,1])
   listMod = as.integer(unlist(strsplit(mod, "[.]")))
-  if (plot){
-    print(plot_valse(models_list[[listMod[1]]][[listMod[2]]],n))
+  modelSel = models_list[[listMod[1]]][[listMod[2]]]
+  
+  ##Affectations
+  Gam = matrix(0, ncol = length(modelSel$pi), nrow = n)
+  for (i in 1:n){
+    for (r in 1:length(modelSel$pi)){
+      sqNorm2 = sum( (Y[i,]%*%modelSel$rho[,,r]-X[i,]%*%modelSel$phi[,,r])^2 )
+      Gam[i,r] = modelSel$pi[r] * exp(-0.5*sqNorm2)* det(modelSel$rho[,,r])
+    }
+  }
+  Gam = Gam/rowSums(Gam)
+  modelSel$affec = apply(Gam, 1,which.max)
+  modelSel$proba = Gam
+
+    if (plot){
+    print(plot_valse(modelSel,n))
   }
-  models_list[[listMod[1]]][[listMod[2]]]
   
+  return(modelSel)
 }