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Data:
12.1 12 11.8 12.7 12.3 11.9 12 12.3 12.8 12.4 12.3 12.7 12.7 12.9 13 12.2 12.3 12.8 12.8 12.8 12.2 12.6 12.8 12.5 12.4 12.3 11.9 11.7 12 12.1 11.7 11.8 11.8 11.8 11.3 11.3 11.3 11.2 11.4 12.2 12.9 13.1 13.5 13.6 14.4 14.1 15.1 15.8 15.9 15.4 15.5 14.8 13.2 12.7 12.1 11.9 10.6 10.7 9.8 9 8.3 9.3 9 9.1 10
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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