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Data:
9.1 11.2 7.7 7.9 -2.4 -2.8 -4.9 2.3 7.9 6.7 6 3.8 4.7 6.4 9.3 11 8.5 8.8 10 16.8 11.6 11.5 6 2.9 2.1 2.7 11.2 7.3 11.6 4.6 6 -0.5 1.8 3.7 8.3 8.3 12 7.8 5.3 1 -0.3 2.4 2.7 5.7 3.5 0.6 5.2 2.9 1 -5.5 -7.1 -7.9 -8.8 -7 -5.5 -7.3 -7.5 -3.5 2.2 3.1 4.1 4.2 6 5.5 5.1 5.5 1 1.5 1.2 1.7 -8.6 -11.2 -12.7 -3.1 -1 0.3 -2.9 -2.2 3.2 5.9 13.3 7.3 6.9 8.3 11.8 9.2 5.8 8.8 14.6 28.1 19.7 16.5 -5.3 -2.4 1.9 1.6 -0.1 -1.9 3.4 3.3 3.3 -9.8 -4.6 -6.1 10.6 8.8 10.7 11.7
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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