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Data:
108.9 110.5 111.0 110.7 110.0 111.4 107.7 110.4 110.5 106.4 107.5 108.8 107.1 107.9 107.2 106.3 106.7 105.4 109.4 106.7 105.2 107.0 105.4 106.1 105.8 104.2 102.7 102.7 104.9 102.3 104.0 101.2 102.2 101.4 101.1 97.2 99.7 99.4 98.0 103.1 99.4 100.8 96.4 99.7 100.9 101.3 102.6 105.6 107.2 104.0 108.7 104.9 105.3 105.0 106.1 103.7 102.1 97.2 99.5 102.9
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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