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))
rho = array(dim=c(m,m,k))
for(i in 1:k)
rho[,,i] = diag(1,m)
- require(valse)
xy = generateXYdefault(n, p, m, k)
testFolder = "../data/"
write.table(as.integer(c(n,p,m,k)), paste(testFolder,"dimensions",sep=""),
row.names=F, col.names=F)
- res = EMGrank_R(pi,rho,mini,maxi,xy$X,xy$Y,tau,rank)
+ res = valse::EMGrank(pi,rho,mini,maxi,xy$X,xy$Y,tau,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)
+ 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)
}