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Data:
25.60 23.70 22.00 21.30 20.70 20.40 20.30 20.40 19.80 19.50 23.10 23.50 23.50 22.90 21.90 21.50 20.50 20.20 19.40 19.20 18.80 18.80 22.60 23.30 23.00 21.40 19.90 18.80 18.60 18.40 18.60 19.90 19.20 18.40 21.10 20.50 19.10 18.10 17.00 17.10 17.40 16.80 15.30 14.30 13.40 15.30 22.10 23.70 22.20 19.50 16.60 17.30 19.80 21.20 21.50 20.60 19.10 19.60 23.50 24.00
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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