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Data:
145.9 158.5 152.2 153.7 157.9 154.4 150.7 151.2 147.3 146.6 145.2 139.3 145.7 163.3 181.8 188.1 222.9 206.3 184.9 183.6 186.6 176.5 173.9 184.9 182.5 183.6 172.4 168.9 163.3 152.4 145.8 148.6 143.4 141.2 144.6 144.5 140.8 133.3 127.3 119.6 120.2 121.9 112.4 111 107.8 110.5 118.3 123 112.1 104.2 102.4 100.3 102.6 101.5 103.4 99.4 97.9 98 90.2 87.1 91.8 94.8 91.8 89.3 91.7 86.2 82.8 82.3 79.8 79.4 85.3 87.5 88.3 88.6 94.9 94.7 92.6 91.8 96.4 96.4 107.1 111.9 107.8 109.2 115.3 119.2 107.8 106.8 104.2 94.8 97.5 98.3 100.6 94.9 93.6 98 104.3 103.9 105.3 102.6 103.3 107.9 107.8 109.8 110.6 110.8 119.3 128.1 127.6 137.9 151.4 143.6 143.4 141.9 135.2 133.1 129.6 134.1 136.8 143.5 162.5 163.1 157.2 158.8 155.4 148.5 154.2 153.3 149.4 147.9 156 163 159.1 159.5 157.3 156.4 156.6 162.4 166.8 162.6 168.1
Seasonal Period
1
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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