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Data:
4.2 4 4.9 4.6 4.3 4.3 4.6 5.1 4.8 4.5 4.9 5.1 5.1 5.2 4.5 4.6 4.9 4.6 4.4 3.7 4 4.2 3.9 3.6 3.6 3.2 3.2 3.5 3.6 3.7 3.8 3.8 3.8 3.3 3.3 3.4 3.1 3.5 4.2 4.9 5.1 5.5 5.6 6.4 6.2 7.2 7.8 7.9 7.4 7.5 6.7 5.1 4.6 4.3 3.9 2.6 2.6 1.6 0.9 0.3
Seasonal Period
36
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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