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Data:
108.1 105.4 114.6 106.9 115.9 109.8 101.8 114.2 110.8 108.4 127.5 128.6 116.6 127.4 105.0 108.3 125.0 111.6 106.5 130.3 115.0 116.1 134.0 126.5 125.8 136.4 114.9 110.9 125.5 116.8 116.8 125.5 104.2 115.1 132.8 123.3 124.8 122.0 117.4 117.9 137.4 114.6 124.7 129.6 109.4 120.9 134.9 136.3 133.2 127.2 122.7 120.5 137.8 119.1 124.3 134.4 121.1 121.0 127.0 133.4
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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