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Data:
93.0 99.2 112.2 112.1 103.3 108.2 90.4 72.8 111.0 117.9 111.3 110.5 94.8 100.4 132.1 114.6 101.9 130.2 84.0 86.4 122.3 120.9 110.2 112.6 102.0 105.0 130.5 115.5 103.7 130.9 89.1 93.8 123.8 111.9 118.3 116.9 103.6 116.6 141.3 107.0 125.2 136.4 91.6 95.3 132.3 130.6 131.9 118.6 114.3 111.3 126.5 112.1 119.3 142.4 101.1 97.4 129.1 136.9 129.8 123.9
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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