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Data:
137.0 135.9 138.1 137.1 135.1 139.6 131.8 136.7 128.9 131.3 129.5 129.0 129.8 125.4 128.6 130.2 124.6 123.7 124.4 119.2 124.4 123.1 120.9 120.9 117.8 113.6 113.2 115.9 121.1 107.6 114.7 112.8 112.1 109.8 108.5 102.7 110.6 108.2 112.7 107.9 102.7 108.4 108.4 106.9 108.9 103.7 103.6 111.6 105.5 105.5 101.3 103.8 100.3 108.2 105.6 103.0 100.5 104.3 99.1 91.5
Seasonal Period
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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