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Data:
19 23 22 23 25 25 23 22 21 16 21 21 26 23 22 22 22 12 20 18 23 25 28 28 29 31 33 32 33 35 33 36 30 34 34 35 33 28 27 23 23 24 24 20 16 6 2 12 19 21 22 20 21 20 19 17 17 17 16 12 11 7 2 9 11 10 7 9 15 5 14 14 17 19 17 16 14 20 16 18 18 14 13 14 14 17 18 15 9 9 9 10 6 12 11 15 19 18 15 16 14 18 18 18 18 22 21 12 19 21 19 22 22 21 19 18 18 19 12 16
Seasonal Period
12
12
1
2
3
4
6
12
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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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