X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=src%2Ftest%2Fgenerate_test_data%2FgenerateRunSaveTest_constructionModelesLassoMLE.R;h=dbce359c592cb698cb0c0d1a3fb3224c69e7b99f;hp=b6ff68c790fd4dc89c26f3d0f98f6405cca6d79e;hb=31ef8a5c9bbaefcf40d2c2bad43b27d469c28c34;hpb=9ade3f1b66fa07ad9f1a3b09fc05462c783841de

diff --git a/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoMLE.R b/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoMLE.R
index b6ff68c..dbce359 100644
--- a/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoMLE.R
+++ b/src/test/generate_test_data/generateRunSaveTest_constructionModelesLassoMLE.R
@@ -1,46 +1,65 @@
-generateRunSaveTest_constructionModelesLassoMLE = function(n=200, p=15, m=10, k=3, mini=5, maxi=10, gamma=1.0, glambda=list(0.0,0.01,0.02,0.03,0.05,0.1,0.2,0.3,0.5,0.7,0.85,0.99)){
-  testFolder = "data/"
-  dir.create(testFolder, showWarnings=FALSE, mode="0755")
-  delimiter = " "
-  
-  #Generate phiInit,piInit,...
-	require(valse)
-  params = valse:::basic_Init_Parameters(n, p, m, k)
+source("helpers/constructionModelesLassoMLE.R")
 
-  #save inputs
-  write.table(paste(testFolder,"phiInit",sep=""), params$phiInit, sep=delimiter)
-  write.table(paste(testFolder,"rhoInit",sep=""), params$rhoInit, sep=delimiter)
-  write.table(paste(testFolder,"piInit",sep=""), params$piInit, sep=delimiter)
-  write.table(paste(testFolder,"gamInit",sep=""), params$gamInit, sep=delimiter)
-  write.table(paste(testFolder,"mini",sep=""), mini, sep=delimiter)
-  write.table(paste(testFolder,"maxi",sep=""), maxi, sep=delimiter)
-  write.table(paste(testFolder,"gamma",sep=""), gamma, sep=delimiter)
-  write.table(paste(testFolder,"lambda",sep=""), lambda, sep=delimiter)
-  write.table(paste(testFolder,"X",sep=""), io$X, sep=delimiter)
-  write.table(paste(testFolder,"Y",sep=""), io$Y, sep=delimiter)
-  write.table(paste(testFolder,"tau",sep=""), tau, sep=delimiter)
-  write.table(paste(testFolder,"dimensions",sep=""), c(n,p,m,k), sep=delimiter)
-  
-  A2 = array(0, dim=c(p, m+1, L))
+generateRunSaveTest_constructionModelesLassoMLE = function(n=200, p=15, m=10, k=3, mini=5,
+	maxi=10, gamma=1.0, glambda=list(0.0,0.01,0.02,0.03,0.05,0.1,0.2,0.3,0.5,0.7,0.85,0.99))
+{
+	tau = 1e-6;
+	seuil = 1e-15;
+	L = length(glambda);
   A1 = array(0, dim=c(p, m+1, L))
-  for(i in 1:L){
-    A2[,1,i] = seq(1,p)
-    A2[,2,i] = seq(1,5)
-    A1[,1, i] = seq(1,p)
-    A1[,2,i] = seq(1,5)
+  A2 = array(0, dim=c(p, m+1, L))
+  for (i in 1:L)
+	{
+    A1[,1,i] = seq_len(p)
+    A1[1:5,2,i] = seq_len(5)
+    A2[,1,i] = seq_len(p)
+    A2[1:5,2,i] = seq_len(5)
   }
-  
-  #Generate X and Y
-  generateIOdef = generateIOdefault(n, p, m, k)
-  construct_LME = constructionModelesLassoMLE(params$phiInit,params$rhoInit,params$piInit,params$gamInit,mini,maxi,gamma,glambda,generateIOdef$X,generateIOdef$Y,seuil,tau,A1,A2)
-  phi = construct_LME$phi
-  rho = construct_LME$rho
-  pi = construct_LME$pi
-  lvraisemblance = construct_LME$lvraisemblance
-  
+	require(valse)
+  params = valse:::basicInitParameters(n, p, m, k)
+  xy = valse:::generateXYdefault(n, p, m, k)
+
+  testFolder = "../data/"
+  dir.create(testFolder, showWarnings=FALSE, mode="0755")
+  #save inputs
+  write.table(as.double(params$phiInit), paste(testFolder,"phiInit",sep=""),
+		row.names=F, col.names=F)
+  write.table(as.double(params$rhoInit), paste(testFolder,"rhoInit",sep=""),
+		row.names=F, col.names=F)
+  write.table(as.double(params$piInit), paste(testFolder,"piInit",sep=""),
+		row.names=F, col.names=F)
+  write.table(as.double(params$gamInit), paste(testFolder,"gamInit",sep=""),
+		row.names=F, col.names=F)
+  write.table(as.integer(mini), paste(testFolder,"mini",sep=""),
+		row.names=F, col.names=F)
+  write.table(as.integer(maxi), paste(testFolder,"maxi",sep=""),
+		row.names=F, col.names=F)
+  write.table(as.double(gamma), paste(testFolder,"gamma",sep=""),
+		row.names=F, col.names=F)
+  write.table(as.double(glambda), paste(testFolder,"glambda",sep=""),
+		row.names=F, col.names=F)
+  write.table(as.double(xy$X), paste(testFolder,"X",sep=""),
+		row.names=F, col.names=F)
+  write.table(as.double(xy$Y), paste(testFolder,"Y",sep=""),
+		row.names=F, col.names=F)
+  write.table(as.double(seuil), paste(testFolder,"seuil",sep=""),
+		row.names=F, col.names=F)
+  write.table(as.double(tau), paste(testFolder,"tau",sep=""),
+		row.names=F, col.names=F)
+  write.table(as.double(A1), paste(testFolder,"A1",sep=""),
+		row.names=F, col.names=F)
+  write.table(as.double(A2), paste(testFolder,"A2",sep=""),
+		row.names=F, col.names=F)
+  write.table(as.integer(c(n,p,m,k,L)), paste(testFolder,"dimensions",sep=""),
+		row.names=F, col.names=F)
+
+  res = constructionModelesLassoMLE(
+		params$phiInit,params$rhoInit,params$piInit,params$gamInit,
+		mini,maxi,gamma,glambda,xy$X,xy$Y,seuil,tau,A1,A2)
+
   #save output
-  write.table(paste(testFolder,"phi",sep=""), construct_LME$phi, sep=delimiter)
-  write.table(paste(testFolder,"rho",sep=""), construct_LME$rho, sep=delimiter)
-  write.table(paste(testFolder,"pi",sep=""), construct_LME$pi, sep=delimiter)
-  write.table(paste(testFolder,"lvraisemblance",sep=""), construct_LME$lvraisemblance, sep=delimiter)
+  write.table(as.double(res$phi), paste(testFolder,"phi",sep=""), row.names=F, col.names=F)
+  write.table(as.double(res$rho), paste(testFolder,"rho",sep=""), row.names=F, col.names=F)
+  write.table(as.double(res$pi), paste(testFolder,"pi",sep=""), row.names=F, col.names=F)
+  write.table(as.double(res$llh), paste(testFolder,"llh",sep=""), row.names=F, col.names=F)
 }