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Data:
117.1 107.0 107.0 111.0 108.2 96.3 100.9 107.7 106.2 118.7 116.1 118.1 118.4 110.8 106.4 112.2 108.3 96.0 100.6 107.8 108.4 120.9 117.3 119.7 119.6 111.8 108.1 111.8 105.5 93.6 103.9 100.3 106.6 118.4 106.6 109.8 115.9 111.7 119.8 116.1 103.2 99.0 112.3 104.2 114.0 121.7 107.2 112.8 117.8 113.3 116.1 111.8 110.2 110.0 102.9 110.1 102.7 118.7 109.0 115.7 118.1
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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