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Data:
-1.2 -2.4 0.8 -0.1 -1.5 -4.4 -4.2 3.5 10 8.6 9.5 9.9 10.4 16 12.7 10.2 8.9 12.6 13.6 14.8 9.5 13.7 17 14.7 17.4 9 9.1 12.2 15.9 12.9 10.9 10.6 13.2 9.6 6.4 5.8 -1 -0.2 2.7 3.6 -0.9 0.3 -1.1 -2.5 -3.4 -3.5 -3.9 -4.6 -0.1 4.3 10.2 8.7 13.3 15 20.7 20.7 26.4 31.2 31.4 26.6 26.6 19.2 6.5 3.1 -0.2 -4 -12.6 -13 -17.6 -21.7 -23.2 -16.8 -19.8
Seasonal Period
1
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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