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dlt.cubist.R
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data<-dlt
count<-dim(dlt)[1]
dlt.cubist <- function(data,count) {
library(Cubist)
trains_1 <-tail(data,count)[1:(count-3),]
trains_2 <-tail(data,count)[2:(count-2),]
trains_3 <-tail(data,count)[3:(count-1),]
results<-tail(data,(count-3))
tests_1<-tail(data,count)[1:(count-2),]
tests_2<-tail(data,count)[2:(count-1),]
tests_3<-tail(data,(count-2))
#A:
trn1<-trains_1$n
trn2<-trains_2$n
trn3<-trains_3$n
a1.1<-trains_1$a1
a2.1<-trains_1$a2
a3.1<-trains_1$a3
a4.1<-trains_1$a4
a5.1<-trains_1$a5
a1.2<-trains_2$a1
a2.2<-trains_2$a2
a3.2<-trains_2$a3
a4.2<-trains_2$a4
a5.2<-trains_2$a5
a1.3<-trains_3$a1
a2.3<-trains_3$a2
a3.3<-trains_3$a3
a4.3<-trains_3$a4
a5.3<-trains_3$a5
resa1<-results$a1
resa2<-results$a2
resa3<-results$a3
resa4<-results$a4
resa5<-results$a5
#B:
b1.1<-trains_1$b1
b2.1<-trains_1$b2
b1.2<-trains_2$b1
b2.2<-trains_2$b2
b1.3<-trains_3$b1
b2.3<-trains_3$b2
resb1<-results$b1
resb2<-results$b2
trains.a1<-data.frame(trn1,trn2,trn3,
a1.1,a2.1,a3.1,a4.1,a5.1,
a1.2,a2.2,a3.2,a4.2,a5.2,
a1.3,a2.3,a3.3,a4.3,a5.3,
b1.1,b2.1,
b1.2,b2.2,
b1.3,b2.3,
resa1)
trains.a2<-data.frame(trn1,trn2,trn3,
a1.1,a2.1,a3.1,a4.1,a5.1,
a1.2,a2.2,a3.2,a4.2,a5.2,
a1.3,a2.3,a3.3,a4.3,a5.3,
b1.1,b2.1,
b1.2,b2.2,
b1.3,b2.3,
resa2)
trains.a3<-data.frame(trn1,trn2,trn3,
a1.1,a2.1,a3.1,a4.1,a5.1,
a1.2,a2.2,a3.2,a4.2,a5.2,
a1.3,a2.3,a3.3,a4.3,a5.3,
b1.1,b2.1,
b1.2,b2.2,
b1.3,b2.3,
resa3)
trains.a4<-data.frame(trn1,trn2,trn3,
a1.1,a2.1,a3.1,a4.1,a5.1,
a1.2,a2.2,a3.2,a4.2,a5.2,
a1.3,a2.3,a3.3,a4.3,a5.3,
b1.1,b2.1,
b1.2,b2.2,
b1.3,b2.3,
resa4)
trains.a5<-data.frame(trn1,trn2,trn3,
a1.1,a2.1,a3.1,a4.1,a5.1,
a1.2,a2.2,a3.2,a4.2,a5.2,
a1.3,a2.3,a3.3,a4.3,a5.3,
b1.1,b2.1,
b1.2,b2.2,
b1.3,b2.3,
resa5)
trains.b1<-data.frame(trn1,trn2,trn3,
a1.1,a2.1,a3.1,a4.1,a5.1,
a1.2,a2.2,a3.2,a4.2,a5.2,
a1.3,a2.3,a3.3,a4.3,a5.3,
b1.1,b2.1,
b1.2,b2.2,
b1.3,b2.3,
resb1)
trains.b2<-data.frame(trn1,trn2,trn3,
a1.1,a2.1,a3.1,a4.1,a5.1,
a1.2,a2.2,a3.2,a4.2,a5.2,
a1.3,a2.3,a3.3,a4.3,a5.3,
b1.1,b2.1,
b1.2,b2.2,
b1.3,b2.3,
resb2)
cubistMod.a1<-cubist(trains.a1[,4:21],trains.a1$resa1)
cubistMod.a2<-cubist(trains.a2[,4:21],trains.a2$resa2)
cubistMod.a3<-cubist(trains.a3[,4:21],trains.a3$resa3)
cubistMod.a4<-cubist(trains.a4[,4:21],trains.a4$resa4)
cubistMod.a5<-cubist(trains.a5[,4:21],trains.a5$resa5)
cubistMod.b1<-cubist(trains.b1[,4:21],trains.b1$resb1)
cubistMod.b2<-cubist(trains.b2[,4:21],trains.b2$resb2)
#Buil test data
#B:
tsn1<-tests_1$n
tsn2<-tests_2$n
tsn3<-tests_3$n
a1.1<-tests_1$a1
a2.1<-tests_1$a2
a3.1<-tests_1$a3
a4.1<-tests_1$a4
a5.1<-tests_1$a5
a1.2<-tests_2$a1
a2.2<-tests_2$a2
a3.2<-tests_2$a3
a4.2<-tests_2$a4
a5.2<-tests_2$a5
a1.3<-tests_3$a1
a2.3<-tests_3$a2
a3.3<-tests_3$a3
a4.3<-tests_3$a4
a5.3<-tests_3$a5
#B:
b1.1<-tests_1$b1
b2.1<-tests_1$a2
b1.2<-tests_2$b1
b2.2<-tests_2$b2
b1.3<-tests_3$b1
b2.3<-tests_3$b2
tests.ab<-data.frame(tsn1,tsn2,tsn3,
a1.1,a2.1,a3.1,a4.1,a5.1,
a1.2,a2.2,a3.2,a4.2,a5.2,
a1.3,a2.3,a3.3,a4.3,a5.3,
b1.1,b2.1,
b1.2,b2.2,
b1.3,b2.3)
testPredictions.a1<-predict(cubistMod.a1,tests.ab[,4:21])
testPredictions.a2<-predict(cubistMod.a2,tests.ab[,4:21])
testPredictions.a3<-predict(cubistMod.a3,tests.ab[,4:21])
testPredictions.a4<-predict(cubistMod.a4,tests.ab[,4:21])
testPredictions.a5<-predict(cubistMod.a5,tests.ab[,4:21])
testPredictions.b1<-predict(cubistMod.b1,tests.ab[,4:21])
testPredictions.b2<-predict(cubistMod.b2,tests.ab[,4:21])
print(c(tail(testPredictions.a1,1),
tail(testPredictions.a2,1),
tail(testPredictions.a3,1),
tail(testPredictions.a4,1),
tail(testPredictions.a5,1),
tail(testPredictions.b1,1),
tail(testPredictions.b2,1)))
a1<-testPredictions.a1
a2<-testPredictions.a2
a3<-testPredictions.a3
a4<-testPredictions.a4
a5<-testPredictions.a5
b1<-testPredictions.b1
b2<-testPredictions.b2
result.data<-data.frame(a1,a2,a3,a4,a5,b1,b2)
result.model<-list(cubistMod.a1,
cubistMod.a2,
cubistMod.a3,
cubistMod.a4,
cubistMod.a5,
cubistMod.b1,
cubistMod.b2)
return(list(cubistMod.a1,
cubistMod.a2,
cubistMod.a3,
cubistMod.a4,
cubistMod.a5,
cubistMod.b1,
cubistMod.b2,
testPredictions.a1,
testPredictions.a2,
testPredictions.a3,
testPredictions.a4,
testPredictions.a5,
testPredictions.b1,
testPredictions.b2))
}