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Data:
95.6 74.3 88.5 88 84.3 112.8 105.3 97.2 112.4 123.2 143.7 205.1 102.8 89.4 90.7 101.1 93.6 119.3 106.4 105.2 106.5 117.6 144.2 195.5 109.5 84.9 102.9 93.9 104.6 115.2 104.9 114.9 115.1 126.4 156.7 197.3 116.1 89.1 107.8 100.4 113.6 128.3 113.3 113.7 116.1 133.6 167.7 214.6 120.3 106 103.9 118 116.3 134.8 117.8 123.3 125.2 135.8 158.9 217.9
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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