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Data:
104.08 103.86 107.47 111.1 117.33 119.04 123.68 125.9 124.54 119.39 118.8 114.81 117.9 120.53 125.15 126.49 131.85 127.4 131.08 122.37 124.34 119.61 119.97 116.46 117.03 120.96 124.71 127.08 131.91 137.69 142.46 144.32 138.06 124.45 126.71 121.83 122.51 125.48 127.77 128.03 132.84 133.41 139.99 138.53 136.12 124.75 122.88 121.46 118.4 122.45 128.94 133.25 137.94 140.04 130.74 131.55 129.47 125.45 127.87 124.68
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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