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Data:
101.7 101.9 102 102.2 102.4 102.6 102.6 102.5 102.5 102.6 102.7 102.9 103.1 103.2 103.2 103 102.8 102.6 102.4 102.2 101.9 101.6 101.3 101.2 111.7 111.4 111.1 111.1 111.3 111.9 112.4 112.9 113 113 112.7 112.4 112.3 112.5 112.8 113.2 114 114.9 115.6 115.5 115 114.9 115.2 115.4 115 114.6 114.5 114.4 113.9 113.2 112.7 112.6 112.5 112.3 112 111.7 119.2
Seasonal Period
1
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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