old_C_code/stage2_UNFINISHED/src/unused/03_compute-sums-of-classesRANDOM_2010.r

   1 ## File : 03_compute-sum-of-classes_2010.r
   2 ## Description : Calculer les synchrones pour chaque groupe obtenu par le
   3 ##               clustering.
   4
   5 rm(list = ls())
   6
   7 setwd("~/Documents/projects/2014_EDF-Orsay-Lyon2/codes/")
   8
   9 ## 1. Read auxiliar data files ####
  10
  11 identifiants <- read.table("identifs.txt")[ ,1]
  12 dates0       <- read.table("datesall.txt")[, 1]
  13 dates        <- dates0[grep("2009", dates0)]
  14 rm(dates0)
  15
  16 n <- length(identifiants)
  17 p <- length(dates)
  18
  19 blocks <- c(rep(6500, 3), 5511)
  20
  21 # Fit of the clustering : clfit
  22 #load('~/Documents/projects/2014_EDF-Orsay-Lyon2/res/clfit500.Rdata')
  23 load('~/Documents/projects/2014_EDF-Orsay-Lyon2/res/clfit200.Rdata')
  24 #load('~/Documents/projects/2014_EDF-Orsay-Lyon2/res/clfit200RC.Rdata')
  25 #  table(clfit$clustering)
  26
  27 dfclust <- data.frame(cluster = clfit$clustering) # real clustering
  28 K       <- nrow(clfit$clusinfo)
  29
  30 #dfclust2 <- dfclust
  31 dfclust$cluster <- sample(unlist(Map(rep, 1:200, table(dfclust)))) # random clust
  32
  33
  34
  35 #dfclust <- head(dfclust, 50)           # just for testing purpouses
  36 synchros <- matrix(0, ncol = p, nrow = K)
  37 rm(clfit)
  38
  39 ## 2. Process the large file ####
  40
  41 close(con)
  42 con <- file("~/tmp/2010_full.txt")  # Establish a connection to the file
  43 open(con, "r")                      # Open the connection
  44
  45 for(b in seq_along(blocks)){        # Reading loop
  46   nb <- blocks[b]
  47   actual <- readLines(con = con, n = nb )
  48   auxmat <- matrix(unlist(strsplit(actual, " ")), ncol = p + 1, byrow = TRUE)
  49   rm(actual)
  50
  51   datamat <- t(apply(auxmat[, -1], 1, as.numeric))
  52   rownames(datamat) <- substr(auxmat[, 1], 2, 7)
  53   rm(auxmat)
  54
  55   # obtain for each line of datamat the cluster membership (if any)
  56   clustfactor <- dfclust$cluster[match(rownames(datamat), rownames(dfclust))]
  57
  58 #  if(length(which(rownames(datamat) == "218095"))>0) print(b);
  59
  60   for(k in 1:K){
  61     clustk <- which(clustfactor == k)
  62     if(length(clustk) > 0) {
  63
  64     if(length(clustk) > 1) {
  65       synchrosk <- colSums(datamat[which(clustfactor == k), ])
  66     } else {
  67       synchrosk <- datamat[which(clustfactor == k), ]
  68     }
  69     synchros[k, ] <- synchros[k, ] + synchrosk
  70     rm(synchrosk)
  71     }
  72   }
  73 }
  74
  75 close(con)                # close connection to the file
  76
  77 synchros <- data.frame(t(synchros), total = colSums(synchros))
  78
  79 write.table(synchros, file = "~/tmp/2009_synchros200RANDOM.txt")
  80 write.table(dfclust,  file = "../res/dfclust200RANDOM.txt")
  81 #write.table(synchros, file = "~/tmp/2009_synchros200RC.txt")
  82