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Data:
0.2 0.8 1.2 4.5 0.4 5.9 6.5 12.8 4.2 -3.3 -12.5 -16.3 -10.5 -11.8 -11.4 -17.7 -17.3 -18.6 -17.9 -21.4 -19.4 -15.5 -7.7 -0.7 -1.6 1.4 0.7 9.5 1.4 4.1 6.6 18.4 16.9 9.2 -4.3 -5.9 -7.7 -5.4 -2.3 -4.8 2.3 -5.2 -10 -17.1 -14.4 -3.9 3.7 6.5 0.9 -4.1 -7 -12.2 -2.5 4.4 13.7 12.3 13.4 2.2 1.7 -7.2 -4.8 -2.9 -2.4 -2.5 -5.3 -7.1 -8 -8.9 -7.7 -1.1 4 9.6 10.9 13
Seasonal Period
12
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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