source("helper.R") library(valse) generateRunSaveTest_EMGrank = function(n=200, p=15, m=10, k=3, mini=5, maxi=10, gamma=1.0, rank = c(1,2,4)) { eps = 1e-6 Pi = rep(1.0/k, k) Rho = array(dim=c(m,m,k)) for(i in 1:k) Rho[,,i] = diag(1,m) xy = generateXYdefault(n, p, m, k) testFolder = "./data/" dir.create(testFolder, showWarnings=FALSE, mode="0755") #save inputs write.table(as.double(Pi), paste(testFolder,"Pi",sep=""), row.names=F, col.names=F) write.table(as.double(Rho), paste(testFolder,"Rho",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(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(eps), paste(testFolder,"eps",sep=""), row.names=F, col.names=F) write.table(as.integer(rank), paste(testFolder,"rank",sep=""), row.names=F, col.names=F) write.table(as.integer(c(n,p,m,k)), paste(testFolder,"dimensions",sep=""), row.names=F, col.names=F) res = valse::EMGrank(Pi,Rho,mini,maxi,xy$X,xy$Y,eps,rank,fast=FALSE) #save output write.table(as.double(res$phi),paste(testFolder,"phi",sep=""),row.names=F,col.names=F) write.table(as.double(res$LLF),paste(testFolder,"LLF",sep=""),row.names=F,col.names=F) }