facilitate test
[valse.git] / src / test / generate_test_data / generateRunSaveTest_constructionModelesLassoRank.R
1 source("helpers/constructionModelesLassoRank.R")
2
3 generateRunSaveTest_constructionModelesLassoRank = function(n=200, p=15, m=10, k=3, L=12, mini=5,
4 maxi=10, gamma=1.0, rangmin=3, rangmax=6)
5 {
6 tau = 1e-6
7 pi = matrix(1./k, nrow=k, ncol=L)
8 rho = array(dim=c(m,m,k,L))
9 for (l in 1:L)
10 {
11 for (r in 1:k)
12 rho[,,r,l] = diag(1,m)
13 }
14 A1 = matrix(seq_len(p), nrow=p, ncol=L)
15 require(valse)
16 xy = valse:::generateXYdefault(n, p, m, k)
17
18 testFolder = "../data/"
19 dir.create(testFolder, showWarnings=FALSE, mode="0755")
20 #save inputs
21 write.table(as.double(pi), paste(testFolder,"pi",sep=""),
22 row.names=F, col.names=F)
23 write.table(as.double(rho),paste(testFolder,"rho",sep=""),
24 row.names=F, col.names=F)
25 write.table(as.integer(mini), paste(testFolder,"mini",sep=""),
26 row.names=F, col.names=F)
27 write.table(as.integer(maxi), paste(testFolder,"maxi",sep=""),
28 row.names=F, col.names=F)
29 write.table(as.double(xy$X), paste(testFolder,"X",sep=""),
30 row.names=F, col.names=F)
31 write.table(as.double(xy$Y), paste(testFolder,"Y",sep=""),
32 row.names=F, col.names=F)
33 write.table(as.double(tau),paste(testFolder,"tau",sep=""),
34 row.names=F, col.names=F)
35 write.table(as.double(A1),paste(testFolder,"A1",sep=""),
36 row.names=F, col.names=F)
37 write.table(as.integer(rangmin),paste(testFolder,"rangmin",sep=""),
38 row.names=F, col.names=F)
39 write.table(as.integer(rangmax),paste(testFolder,"rangmax",sep=""),
40 row.names=F, col.names=F)
41 write.table(as.integer(c(n,p,m,k,L)),paste(testFolder,"dimensions",sep=""),
42 row.names=F, col.names=F)
43
44 res = constructionModelesLassoRank(pi,rho,mini,maxi,xy$X,xy$Y,tau,A1,rangmin,rangmax)
45
46 #save output
47 write.table(as.double(res$phi), paste(testFolder,"phi",sep=""), row.names=F, col.names=F)
48 write.table(as.double(res$llh), paste(testFolder,"llh",sep=""), row.names=F, col.names=F)
49 }