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Data:
72.5 72.0 98.8 75.2 81.2 88.0 54.6 68.6 101.5 93.4 84.5 91.4 64.5 64.5 117.3 73.5 79.7 102.6 57.9 73.1 102.4 82.3 89.1 84.7 81.4 67.5 113.9 83.8 73.9 103.9 67.9 62.5 125.4 79.1 106.3 96.2 94.3 85.6 117.4 88.5 124.2 119.3 76.8 70.6 122.1 109.5 119.9 102.3 79.6 78.2 103.6 77.8 99.1 105.7 84.1 88.7 108.0 98.1 101.0 82.0
Seasonal Period
12
12
1
2
3
4
6
12
Chart options
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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