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Data:
116.1 102.5 102.0 101.3 100.6 100.9 104.2 108.3 108.9 109.9 106.8 112.7 113.4 101.3 97.8 95.0 93.8 94.5 101.4 105.8 106.6 109.7 108.8 113.4 113.7 103.6 98.2 95.5 94.4 95.9 103.2 104.1 127.6 130.3 133.0 140.4 123.5 116.9 115.9 113.1 112.1 112.4 118.9 117.4 115.6 120.7 114.9 122.0 119.6 114.6 118.4 110.9 111.6 114.6 112.1 117.4 114.8 123.4 118.1 121.9 123.3
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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