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diff --git a/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classesRANDOM-par_2009.r b/old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classesRANDOM-par_2009.r
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+## File : 03_compute-sum-of-classes_2009.r
+## Description : Calculer les synchrones pour chaque groupe obtenu par le
+##               clustering. 
+
+rm(list = ls())
+
+MOJARRITA <- Sys.info()[4] ==  "mojarrita"
+
+if(MOJARRITA){ 
+  setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
+} else {
+  setwd("~/2014_EDF-Orsay-Lyon2/codes/")
+}
+
+
+## 1. Read auxiliar data files ####
+
+identifiants <- read.table("identifs.txt")[ ,1]
+dates0       <- read.table("datesall.txt")[, 1]
+dates        <- dates0[grep("2009", dates0)]
+rm(dates0)
+
+n <- length(identifiants)
+p <- length(dates)
+
+if(MOJARRITA) { 
+  blocks <- c(rep(6500, 3), 5511) 
+  } else {
+  blocks <- 25011  
+  } 
+
+# Fit of the clustering : clfit 
+load('../res/clfitdf200.Rdata') # Loads res that containts  
+                                  # clusterings memberships
+res <- as.data.frame(res)
+
+resRDN <- as.data.frame(lapply(res, sample))
+#save(file = "../res/clfitdf200RDN.Rdata", resRDN)
+load("../res/clfitdf200RDN.Rdata")
+
+lres <- length(res)
+K       <- 200 #nrow(clfit$clusinfo)
+rm(res)
+
+## 2. Process the large file ####
+
+close(con)
+con <- file("~/tmp/2009_full.txt")  # Establish a connection to the file
+open(con, "r")                      # Open the connection
+
+for(b in seq_along(blocks)){        # Reading loop
+  nb <- blocks[b]
+  actual <- readLines(con = con, n = nb )
+  actual_split <- strsplit(actual, " ")
+  rm(actual)
+  
+  #auxmat <- matrix(unlist(strsplit(actual, " ")), ncol = p + 1, byrow = TRUE)
+  #datamat <- t(apply(auxmat[, -1], 1, as.numeric)) # the NA introduced by 
+                                                    # as.numeric
+  auxlist <- lapply(actual_split, function(x) as.numeric(x[-1]))
+  datamat <- matrix(unlist(auxlist), ncol = p, byrow = TRUE)
+  rm(auxlist)
+
+                                                   # are NA strings
+  #rownames(datamat) <- substr(auxmat[, 1], 2, 7)
+  auxnames          <- unlist(lapply(strsplit(actual, " "), "[", 1))
+  rownames(datamat) <- substr(auxnames, 2, 7)
+
+  rm(auxmat, actual_split)
+
+  synchros <- lapply(resRDN, 
+                     function(ll) { 
+                        aux <- matrix(0, ncol = p, nrow = K)
+                        for(k in 1:K) {
+                          clustk <- which(ll == k)
+                          if(length(clustk) > 1) {
+                            aux[k, ] <- colSums(datamat[clustk, ])
+                          } else {
+                            aux[k, ] <- datamat[clustk, ]
+                          }
+                        }
+                        aux
+                      })
+}
+
+close(con)                # close connection to the file
+
+# save(synchros, file = "~/tmp/2009synchrosdf200RND")
+