test/generate_test_data/generateRunSaveTest_EMGrank.R

   1 source("EMGrank.R")
   2
   3 generateRunSaveTest_EMGrank = function(n=200, p=15, m=10, k=3, mini=5, maxi=10, gamma=1.0,
   4     rank = c(1,2,4))
   5 {
   6   tau = 1e-6
   7   pi = rep(1.0/k, k)
   8   rho = array(dim=c(m,m,k))
   9   for(i in 1:k)
  10     rho[,,i] = diag(1,m)
  11     require(valse)
  12   xy = valse:::generateXYdefault(n, p, m, k)
  13
  14   testFolder = "../data/"
  15   dir.create(testFolder, showWarnings=FALSE, mode="0755")
  16   #save inputs
  17   write.table(as.double(rho), paste(testFolder,"rho",sep=""),
  18         row.names=F, col.names=F)
  19     write.table(as.double(pi), paste(testFolder,"pi",sep=""),
  20         row.names=F, col.names=F)
  21   write.table(as.integer(mini), paste(testFolder,"mini",sep=""),
  22         row.names=F, col.names=F)
  23   write.table(as.integer(maxi), paste(testFolder,"maxi",sep=""),
  24         row.names=F, col.names=F)
  25   write.table(as.double(xy$X), paste(testFolder,"X",sep=""),
  26         row.names=F, col.names=F)
  27   write.table(as.double(xy$Y), paste(testFolder,"Y",sep=""),
  28         row.names=F, col.names=F)
  29   write.table(as.double(tau), paste(testFolder,"tau",sep=""),
  30         row.names=F, col.names=F)
  31   write.table(as.integer(rank), paste(testFolder,"rank",sep=""),
  32         row.names=F, col.names=F)
  33   write.table(as.integer(c(n,p,m,k)), paste(testFolder,"dimensions",sep=""),
  34         row.names=F, col.names=F)
  35
  36   res = EMGrank(pi,rho,mini,maxi,xy$X,xy$Y,tau,rank)
  37
  38   #save output
  39   write.table(as.double(res$phi), paste(testFolder,"phi",sep=""), row.names=F,col.names=F)
  40   write.table(as.double(res$LLF), paste(testFolder,"LLF",sep=""), row.names=F,col.names=F)
  41 }