library(MASS) #untuk membangkitkan data MVN
n=50 #jumlah sample yang dibangkitkan
#Untuk korelasi = 0
korelasin<-
matrix(c(1,0,0,0,1,0,0,0,1),3,3)
#Untuk korelasi rendah
korelasir<-
matrix(c(1,0.2,0.2,0.2,1,0.2,0.2,0.2,1),3 ,3)
#Untuk korelasi sedang
korelasis<-matrix(c(1,0.5,0.5, 0.5,1,0.5,0.5,0.5,1),3,3)
#Untuk korelasi tinggi
korelasit<-matrix(c(1,0.8,0.8, 0.8,1,0.8,0.8,0.8,1),3,3) #Untuk ragam s1=s2=s3=1 s1<-c(1,1,1) Dset1<-diag(sqrt(s1)) sigma1n<- Dset1%*%korelasin%*%Dset1 sigma1r<- Dset1%*%korelasir%*%Dset1 sigma1s<- Dset1%*%korelasis%*%Dset1 sigma1t<- Dset1%*%korelasit%*%Dset1 #Untuk ragam s1=s2=s3=9 s2<-c(9,9,9) Dset2<-diag(sqrt(s2)) sigma2n<- Dset2%*%korelasin%*%Dset2 sigma2r<- Dset2%*%korelasir%*%Dset2 sigma2s<- Dset2%*%korelasis%*%Dset2 sigma2t<- Dset2%*%korelasit%*%Dset2 #Untuk ragam s1=s2= s3=25 s3<-c(25,25,25) Dset3<-diag(sqrt(s3)) sigma3n<- Dset3%*%korelasin%*%Dset3 sigma3r<- Dset3%*%korelasir%*%Dset3 sigma3s<- Dset3%*%korelasis%*%Dset3 sigma3t<- Dset3%*%korelasit%*%Dset3
#Untuk jarak antar dua pusat gerombol sama
miu1<- c(1,2,3) miu2<- c(1,2,3) miu3<- c(1,2,3)
#Untuk jarak antar dua pusat gerombol berbeda,dekat (d=5,099)
miu1d<- c(1,2,5) miu2d<- c(2,5,1) miu3d<- c(5,1,2)
#Untuk jarak antar dua pusat gerombol berbeda,sedang (d=7,483)
miu1s<- c(1,3,7) miu2s<- c(3,7,1) miu3s<- c(7,1,3)
#Untuk jarak antar dua pusat gerombol berbeda,besar (d=9,899)
miu1j<- c(1,4,9) miu2j<- c(4,9,1) miu3j<- c(9,1,4) gerombol1n1<-
mvrnorm(n,miu1,sigma1n, tol = 1e- 6,empirical=TRUE)
gerombol2n1<-
mvrnorm(n,miu2,sigma1n, tol = 1e- 6,empirical=TRUE)
gerombol3n1<-
mvrnorm(n,miu3,sigma1n, tol = 1e- 6,empirical=TRUE)
kasus1<-
rbind(gerombol1n1,gerombol2n1,gero mbol3n1)
mvrnorm(n,miu1,sigma1r, tol = 1e- 6,empirical=TRUE)
gerombol2r1<-
mvrnorm(n,miu2,sigma1r, tol = 1e- 6,empirical=TRUE)
gerombol3r1<-
mvrnorm(n,miu3,sigma1r, tol = 1e- 6,empirical=TRUE)
kasus2<-
rbind(gerombol1r1,gerombol2r1,gerom bol3r1)
gerombol1s1<-
mvrnorm(n,miu1,sigma1s, tol = 1e- 6,empirical=TRUE)
gerombol2s1<-
mvrnorm(n,miu2,sigma1s, tol = 1e- 6,empirical=TRUE)
gerombol3s1<-
mvrnorm(n,miu3,sigma1s, tol = 1e- 6,empirical=TRUE)
kasus3<-
rbind(gerombol1s1,gerombol2s1,gerom bol3s1)
gerombol1t1<-
mvrnorm(n,miu1,sigma1t, tol = 1e- 6,empirical=TRUE)
gerombol2t1<-
mvrnorm(n,miu2,sigma1t, tol = 1e- 6,empirical=TRUE)
gerombol3t1<-
mvrnorm(n,miu3,sigma1t, tol = 1e- 6,empirical=TRUE)
kasus4<- rbind
(gerombol1t1,gerombol2t1,gerombol3t 1)
gerombol1n3<-
mvrnorm(n,miu1,sigma3n, tol = 1e- 6,empirical=TRUE)
gerombol2n3<-
mvrnorm(n,miu2,sigma3n, tol = 1e- 6,empirical=TRUE)
gerombol3n3<-
mvrnorm(n,miu3,sigma3n, tol = 1e- 6,empirical=TRUE)
kasus5<-
rbind(gerombol1n3,gerombol2n3,gero
mvrnorm(n,miu1,sigma3r, tol = 1e- 6,empirical=TRUE)
gerombol2r3<-
mvrnorm(n,miu2,sigma3r, tol = 1e- 6,empirical=TRUE)
gerombol3r3<-
mvrnorm(n,miu3,sigma3r, tol = 1e- 6,empirical=TRUE)
kasus6<-
rbind(gerombol1r3,gerombol2r3,gerom bol3r3)
gerombol1s3<-
mvrnorm(n,miu1,sigma3s, tol = 1e- 6,empirical=TRUE)
gerombol2s3<-
mvrnorm(n,miu2,sigma3s, tol = 1e- 6,empirical=TRUE)
gerombol3s3<-
mvrnorm(n,miu3,sigma3s, tol = 1e- 6,empirical=TRUE)
kasus7<-
rbind(gerombol1s3,gerombol2s3,gerom bol3r3)
gerombol1t3<-
mvrnorm(n,miu1,sigma3t, tol = 1e- 6,empirical=TRUE)
gerombol2t3<-
mvrnorm(n,miu2,sigma3t, tol = 1e- 6,empirical=TRUE)
gerombol3t3<-
mvrnorm(n,miu3,sigma3t, tol = 1e- 6,empirical=TRUE)
kasus8<- rbind
(gerombol1t3,gerombol2t3,gerombol3t 3)
gerombol1n1<-
mvrnorm(n,miu1,sigma1n, tol = 1e- 6,empirical=TRUE)
gerombol2n2<-
mvrnorm(n,miu2,sigma2n, tol = 1e- 6,empirical=TRUE)
gerombol3n3<-
mvrnorm(n,miu3,sigma3n, tol = 1e- 6,empirical=TRUE)
kasus9<-
gerombol1r1<-
mvrnorm(n,miu1,sigma1r, tol = 1e- 6,empirical=TRUE)
gerombol2r2<-
mvrnorm(n,miu2,sigma2r, tol = 1e- 6,empirical=TRUE)
gerombol3r3<-
mvrnorm(n,miu3,sigma3r, tol = 1e- 6,empirical=TRUE)
kasus10<-
rbind(gerombol1r1,gerombol2r2,gerom bol3r3)
gerombol1s1<-
mvrnorm(n,miu1,sigma1s, tol = 1e- 6,empirical=TRUE)
gerombol2s2<-
mvrnorm(n,miu2,sigma2s, tol = 1e- 6,empirical=TRUE)
gerombol3s3<-
mvrnorm(n,miu3,sigma3s, tol = 1e- 6,empirical=TRUE)
kasus11<-
rbind(gerombol1s1,gerombol2s2,gerom bol3s3)
gerombol1t1<-
mvrnorm(n,miu1,sigma1t, tol = 1e- 6,empirical=TRUE)
gerombol2t2<-
mvrnorm(n,miu2,sigma2t, tol = 1e- 6,empirical=TRUE)
gerombol3t3<-
mvrnorm(n,miu3,sigma3t, tol = 1e- 6,empirical=TRUE)
kasus12<-
rbind(gerombol1t1,gerombol2t2,gerom bol3t3)
gerombol1dn1<-
mvrnorm(n,miu1d,sigma1n, tol = 1e- 6,empirical=TRUE)
gerombol2dn1<-
mvrnorm(n,miu2d,sigma1n, tol = 1e- 6,empirical=TRUE)
gerombol3dn1<-
mvrnorm(n,miu3d,sigma1n, tol = 1e- 6,empirical=TRUE)
kasus13<-
rbind(gerombol1dn1,gerombol2dn1,ger
mvrnorm(n,miu1d,sigma1r, tol = 1e- 6,empirical=TRUE)
gerombol2dr1<-
mvrnorm(n,miu2d,sigma1r, tol = 1e- 6,empirical=TRUE)
gerombol3dr1<-
mvrnorm(n,miu3d,sigma1r, tol = 1e- 6,empirical=TRUE)
kasus14<-
rbind(gerombol1dr1,gerombol2dr1,ger ombol3dr1)
gerombol1ds1<-
mvrnorm(n,miu1d,sigma1s, tol = 1e- 6,empirical=TRUE)
gerombol2ds1<-
mvrnorm(n,miu2d,sigma1s, tol = 1e- 6,empirical=TRUE)
gerombol3ds1<-
mvrnorm(n,miu3d,sigma1s, tol = 1e- 6,empirical=TRUE)
kasus15<-
rbind(gerombol1ds1,gerombol2ds1,ger ombol3ds1)
gerombol1dt1<-
mvrnorm(n,miu1d,sigma1t, tol = 1e- 6,empirical=TRUE)
gerombol2dt1<-
mvrnorm(n,miu2d,sigma1t, tol = 1e- 6,empirical=TRUE)
gerombol3dt1<-
mvrnorm(n,miu3d,sigma1t, tol = 1e- 6,empirical=TRUE)
kasus16<-
rbind(gerombol1dt1,gerombol2dt1,gero mbol3dt1)
gerombol1dn3<-
mvrnorm(n,miu1d,sigma3n, tol = 1e- 6,empirical=TRUE)
gerombol2dn3<-
mvrnorm(n,miu2d,sigma3n, tol = 1e- 6,empirical=TRUE)
gerombol3dn3<-
mvrnorm(n,miu3d,sigma3n, tol = 1e- 6,empirical=TRUE)
kasus17<-
gerombol1dr3<-
mvrnorm(n,miu1d,sigma3r, tol = 1e- 6,empirical=TRUE)
gerombol2dr3<-
mvrnorm(n,miu2d,sigma3r, tol = 1e- 6,empirical=TRUE)
gerombol3dr3<-
mvrnorm(n,miu3d,sigma3r, tol = 1e- 6,empirical=TRUE)
kasus18<-
rbind(gerombol1dr3,gerombol2dr3,ger ombol3dr3)
gerombol1ds3<-
mvrnorm(n,miu1d,sigma3s, tol = 1e- 6,empirical=TRUE)
gerombol2ds3<-
mvrnorm(n,miu2d,sigma3s, tol = 1e- 6,empirical=TRUE)
gerombol3ds3<-
mvrnorm(n,miu3d,sigma3s, tol = 1e- 6,empirical=TRUE)
kasus19<-
rbind(gerombol1ds3,gerombol2ds3,ger ombol3ds3)
gerombol1dt3<-
mvrnorm(n,miu1d,sigma3t, tol = 1e- 6,empirical=TRUE)
gerombol2dt3<-
mvrnorm(n,miu2d,sigma3t, tol = 1e- 6,empirical=TRUE)
gerombol3dt3<-
mvrnorm(n,miu3d,sigma3t, tol = 1e- 6,empirical=TRUE)
kasus20<-
rbind(gerombol1dt3,gerombol2dt3,gero mbol3dt3)
gerombol1sn1<-
mvrnorm(n,miu1s,sigma1n, tol = 1e- 6,empirical=TRUE)
gerombol2sn1<-
mvrnorm(n,miu2s,sigma1n, tol = 1e- 6,empirical=TRUE)
gerombol3sn1<-
mvrnorm(n,miu3s,sigma1n, tol = 1e- 6,empirical=TRUE)
kasus21<-
gerombol1sr1<-
mvrnorm(n,miu1s,sigma1r, tol = 1e- 6,empirical=TRUE)
gerombol2sr1<-
mvrnorm(n,miu2s,sigma1r, tol = 1e- 6,empirical=TRUE)
gerombol3sr1<-
mvrnorm(n,miu3s,sigma1r, tol = 1e- 6,empirical=TRUE)
kasus22<-
rbind(gerombol1sr1,gerombol2sr1,gero mbol3sr1)
gerombol1ss1<-
mvrnorm(n,miu1s,sigma1s, tol = 1e- 6,empirical=TRUE)
gerombol2ss1<-
mvrnorm(n,miu2s,sigma1s, tol = 1e- 6,empirical=TRUE)
gerombol3ss1<-
mvrnorm(n,miu3s,sigma1s, tol = 1e- 6,empirical=TRUE)
kasus23<-
rbind(gerombol1ss1,gerombol2ss1,gero mbol3ss1)
gerombol1st1<-
mvrnorm(n,miu1s,sigma1t, tol = 1e- 6,empirical=TRUE)
gerombol2st1<-
mvrnorm(n,miu2s,sigma1t, tol = 1e- 6,empirical=TRUE)
gerombol3st1<-
mvrnorm(n,miu3s,sigma1t, tol = 1e- 6,empirical=TRUE)
kasus24<-
rbind(gerombol1st1,gerombol2st1,gero mbol3st1)
gerombol1sn3<-
mvrnorm(n,miu1s,sigma3n, tol = 1e- 6,empirical=TRUE)
gerombol2sn3<-
mvrnorm(n,miu2s,sigma3n, tol = 1e- 6,empirical=TRUE)
gerombol3sn3<-
mvrnorm(n,miu3s,sigma3n, tol = 1e- 6,empirical=TRUE)
kasus25<-
gerombol1sr3<-
mvrnorm(n,miu1s,sigma3r, tol = 1e- 6,empirical=TRUE)
gerombol2sr3<-
mvrnorm(n,miu2s,sigma3r, tol = 1e- 6,empirical=TRUE)
gerombol3sr3<-
mvrnorm(n,miu3s,sigma3r, tol = 1e- 6,empirical=TRUE)
kasus26<-
rbind(gerombol1sr3,gerombol2sr3,gero mbol3sr3)
gerombol1ss3<-
mvrnorm(n,miu1s,sigma3s, tol = 1e- 6,empirical=TRUE)
gerombol2ss3<-
mvrnorm(n,miu2s,sigma3s, tol = 1e- 6,empirical=TRUE)
gerombol3ss3<-
mvrnorm(n,miu3s,sigma3s, tol = 1e- 6,empirical=TRUE)
kasus27<-
rbind(gerombol1ss3,gerombol2ss3,gero mbol3ss3)
gerombol1st3<-
mvrnorm(n,miu1s,sigma3t, tol = 1e- 6,empirical=TRUE)
gerombol2st3<-
mvrnorm(n,miu2s,sigma3t, tol = 1e- 6,empirical=TRUE)
gerombol3st3<-
mvrnorm(n,miu3s,sigma3t, tol = 1e- 6,empirical=TRUE)
kasus28<-
rbind(gerombol1st3,gerombol2st3,gero mbol3st3)
gerombol1jn1<-
mvrnorm(n,miu1j,sigma1n, tol = 1e- 6,empirical=TRUE)
gerombol2jn1<-
mvrnorm(n,miu2j,sigma1n, tol = 1e- 6,empirical=TRUE)
gerombol3jn1<-
mvrnorm(n,miu3j,sigma1n, tol = 1e- 6,empirical=TRUE)
kasus29<-
gerombol1jr1<-
mvrnorm(n,miu1j,sigma1r, tol = 1e- 6,empirical=TRUE)
gerombol2jr1<-
mvrnorm(n,miu2j,sigma1r, tol = 1e- 6,empirical=TRUE)
gerombol3jr1<-
mvrnorm(n,miu3j,sigma1r, tol = 1e- 6,empirical=TRUE)
kasus30<-
rbind(gerombol1jr1,gerombol2jr1,gero mbol3jr1)
gerombol1js1<-
mvrnorm(n,miu1j,sigma1s, tol = 1e- 6,empirical=TRUE)
gerombol2js1<-
mvrnorm(n,miu2j,sigma1s, tol = 1e- 6,empirical=TRUE)
gerombol3js1<-
mvrnorm(n,miu3j,sigma1s, tol = 1e- 6,empirical=TRUE)
kasus31<-
rbind(gerombol1js1,gerombol2js1,gero mbol3js1)
gerombol1jt1<-
mvrnorm(n,miu1j,sigma1t, tol = 1e- 6,empirical=TRUE)
gerombol2jt1<-
mvrnorm(n,miu2j,sigma1t, tol = 1e- 6,empirical=TRUE)
gerombol3jt1<-
mvrnorm(n,miu3j,sigma1t, tol = 1e- 6,empirical=TRUE)
kasus32<-
rbind(gerombol1jt1,gerombol2jt1,gero mbol3jt1)
gerombol1jn3<-
mvrnorm(n,miu1j,sigma3n, tol = 1e- 6,empirical=TRUE)
gerombol2jn3<-
mvrnorm(n,miu2j,sigma3n, tol = 1e- 6,empirical=TRUE)
gerombol3jn3<-
mvrnorm(n,miu3j,sigma3n, tol = 1e- 6,empirical=TRUE)
gerombol1jr3<-
mvrnorm(n,miu1j,sigma3r, tol = 1e- 6,empirical=TRUE)
gerombol2jr3<-
mvrnorm(n,miu2j,sigma3r, tol = 1e- 6,empirical=TRUE)
gerombol3jr3<-
mvrnorm(n,miu3j,sigma3r, tol = 1e- 6,empirical=TRUE)
kasus34<-
rbind(gerombol1jr3,gerombol2jr3,gero mbol3jr3)
gerombol1js3<-
mvrnorm(n,miu1j,sigma3s, tol = 1e- 6,empirical=TRUE)
gerombol2js3<-
mvrnorm(n,miu2j,sigma3s, tol = 1e- 6,empirical=TRUE)
gerombol3js3<-
mvrnorm(n,miu3j,sigma3s, tol = 1e- 6,empirical=TRUE)
kasus35<-
rbind(gerombol1js3,gerombol2js3,gero mbol3js3)
gerombol1jt3<-
mvrnorm(n,miu1j,sigma3t, tol = 1e- 6,empirical=TRUE)
gerombol2jt3<-
mvrnorm(n,miu2j,sigma3t, tol = 1e- 6,empirical=TRUE)
gerombol3jt3<-
mvrnorm(n,miu3j,sigma3t, tol = 1e- 6,empirical=TRUE)
kasus36<-
rbind(gerombol1jt3,gerombol2jt3,gero mbol3jt3)
gerombol1dn1<-
mvrnorm(n,miu1d,sigma1n, tol = 1e- 6,empirical=TRUE)
gerombol2dn2<-
mvrnorm(n,miu2d,sigma2n, tol = 1e- 6,empirical=TRUE)
gerombol3dn3<-
mvrnorm(n,miu3d,sigma3n, tol = 1e- 6,empirical=TRUE)
kasus37<-
gerombol1dr1<-
mvrnorm(n,miu1d,sigma1r, tol = 1e- 6,empirical=TRUE)
gerombol2dr2<-
mvrnorm(n,miu2d,sigma2r, tol = 1e- 6,empirical=TRUE)
gerombol3dr3<-
mvrnorm(n,miu3d,sigma3r, tol = 1e- 6,empirical=TRUE)
kasus38<-
rbind(gerombol1dr1,gerombol2dr2,ger ombol3dr3)
gerombol1ds1<-
mvrnorm(n,miu1d,sigma1s, tol = 1e- 6,empirical=TRUE)
gerombol2ds2<-
mvrnorm(n,miu2d,sigma2s, tol = 1e- 6,empirical=TRUE)
gerombol3ds3<-
mvrnorm(n,miu3d,sigma3s, tol = 1e- 6,empirical=TRUE)
kasus39<-
rbind(gerombol1ds1,gerombol2ds2,ger ombol3ds3)
gerombol1dt1<-
mvrnorm(n,miu1d,sigma1t, tol = 1e- 6,empirical=TRUE)
gerombol2dt2<-
mvrnorm(n,miu2d,sigma2t, tol = 1e- 6,empirical=TRUE)
gerombol3dt3<-
mvrnorm(n,miu3d,sigma3t, tol = 1e- 6,empirical=TRUE)
kasus40<-
rbind(gerombol1dt1,gerombol2dt2,gero mbol3dt3)
gerombol1sn1<-
mvrnorm(n,miu1s,sigma1n, tol = 1e- 6,empirical=TRUE)
gerombol2sn2<-
mvrnorm(n,miu2s,sigma2n, tol = 1e- 6,empirical=TRUE)
gerombol3sn3<-
mvrnorm(n,miu3s,sigma3n, tol = 1e- 6,empirical=TRUE)
gerombol1sr1<-
mvrnorm(n,miu1s,sigma1r, tol = 1e- 6,empirical=TRUE)
gerombol2sr2<-
mvrnorm(n,miu2s,sigma2r, tol = 1e- 6,empirical=TRUE)
gerombol3sr3<-
mvrnorm(n,miu3s,sigma3r, tol = 1e- 6,empirical=TRUE)
kasus42<-
rbind(gerombol1sr1,gerombol2sr2,gero mbol3sr3)
gerombol1ss1<-
mvrnorm(n,miu1s,sigma1s, tol = 1e- 6,empirical=TRUE)
gerombol2ss2<-
mvrnorm(n,miu2s,sigma2s, tol = 1e- 6,empirical=TRUE)
gerombol3ss3<-
mvrnorm(n,miu3s,sigma3s, tol = 1e- 6,empirical=TRUE)
kasus43<-
rbind(gerombol1ss1,gerombol2ss2,gero mbol3ss3)
gerombol1st1<-
mvrnorm(n,miu1s,sigma1t, tol = 1e- 6,empirical=TRUE)
gerombol2st2<-
mvrnorm(n,miu2s,sigma2t, tol = 1e- 6,empirical=TRUE)
gerombol3st3<-
mvrnorm(n,miu3s,sigma3t, tol = 1e- 6,empirical=TRUE)
kasus44<-
rbind(gerombol1st1,gerombol2st2,gero mbol3st3)
gerombol1jn1<-
mvrnorm(n,miu1j,sigma1n, tol = 1e- 6,empirical=TRUE)
gerombol2jn2<-
mvrnorm(n,miu2j,sigma2n, tol = 1e- 6,empirical=TRUE)
gerombol3jn3<-
mvrnorm(n,miu3j,sigma3n, tol = 1e- 6,empirical=TRUE)
kasus45<-
gerombol1jr1<-
mvrnorm(n,miu1j,sigma1r, tol = 1e- 6,empirical=TRUE)
gerombol2jr2<-
mvrnorm(n,miu2j,sigma2r, tol = 1e- 6,empirical=TRUE)
gerombol3jr3<-
mvrnorm(n,miu3j,sigma3r, tol = 1e- 6,empirical=TRUE)
kasus46<-
rbind(gerombol1jr1,gerombol2jr2,gero mbol3jr3)
gerombol1js1<-
mvrnorm(n,miu1j,sigma1s, tol = 1e- 6,empirical=TRUE)
gerombol2js2<-
mvrnorm(n,miu2j,sigma2s, tol = 1e- 6,empirical=TRUE)
gerombol3js3<-
mvrnorm(n,miu3j,sigma3s, tol = 1e- 6,empirical=TRUE)
kasus47<-
rbind(gerombol1js1,gerombol2js2,gero mbol3js3)
gerombol1jt1<-
mvrnorm(n,miu1j,sigma1t, tol = 1e- 6,empirical=TRUE)
gerombol2jt2<-
mvrnorm(n,miu2j,sigma2t, tol = 1e- 6,empirical=TRUE)
gerombol3jt3<-
mvrnorm(n,miu3j,sigma3t, tol = 1e- 6,empirical=TRUE)
kasus48<-
rbind(gerombol1jt1,gerombol2jt2,gero mbol3jt3)
Lampiran 7. Sintaks Mclust