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Data:
88.8 93.4 92.6 90.7 81.6 84.1 88.1 85.3 82.9 84.8 71.2 68.9 94.3 97.6 85.6 91.9 75.8 79.8 99 88.5 86.7 97.9 94.3 72.9 91.8 93.2 86.5 98.9 77.2 79.4 90.4 81.4 85.8 103.6 73.6 75.7 99.2 88.7 94.6 98.7 84.2 87.7 103.3 88.2 93.4 106.3 73.1 78.6 101.6 101.4 98.5 99 89.5 83.5 97.4 87.8 90.4 97.1 79.4 85
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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