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Data:
-12.7 -2.4 7.1 -3.9 9.5 5 -16.1 -10.8 7 13.6 8.1 -8.1 4.9 -0.8 4.3 4 1.5 5.4 -11.3 -16.4 -2 8.9 -7.2 -18 1.3 6.3 -6 2.8 2 5.1 -7.6 -18.6 5.8 20.3 0.7 -11.2 -5.7 -0.1 3.4 3.3 -1.2 4.2 -8.8 -25.3 8.5 14.5 -3.1 -10.4 -2.9 0.3 22.6 15.4 9 29.1 2.8 -3.8 27.7 28.9 26.5 19.8 13.2 14.1 34.1 30 21.8 32.1 5.3 3 17.1 26.3 38.1 19.5 38 35.5 78.6 62.2 76.9 104.9 32.2 42.5 64.3 74.9 75.4 43 58.7 55.4 76.6 63.3 78.9 82.7
Seasonal Period
12
1
2
3
4
6
12
Chart options
R Code
par1 <- as.numeric(par1) n <- length(x) sx <- sort(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Variance Reduction Matrix',6,TRUE) a<-table.row.end(a) for (bigd in 0:2) { for (smalld in 0:3) { mylabel <- 'V(Y[t],d=' mylabel <- paste(mylabel,as.character(smalld),sep='') mylabel <- paste(mylabel,',D=',sep='') mylabel <- paste(mylabel,as.character(bigd),sep='') mylabel <- paste(mylabel,')',sep='') a<-table.row.start(a) a<-table.element(a,mylabel,header=TRUE) myx <- x if (smalld > 0) myx <- diff(x,lag=1,differences=smalld) if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd) a<-table.element(a,var(myx)) a<-table.element(a,'Range',header=TRUE) a<-table.element(a,max(myx)-min(myx)) a<-table.element(a,'Trim Var.',header=TRUE) smyx <- sort(myx) sn <- length(smyx) a<-table.element(a,var(smyx[smyx>quantile(smyx,0.05) & smyx<quantile(smyx,0.95)])) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable.tab')
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Big Analytics Cloud Computing Center
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