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Data:
104.89 105.15 105.24 105.57 105.62 106.17 106.27 106.41 106.94 107.16 107.32 107.32 107.35 107.55 107.87 108.37 108.38 107.92 108.03 108.14 108.3 108.64 108.66 109.04 109.03 109.03 109.54 109.75 109.83 109.65 109.82 109.95 110.12 110.15 110.21 109.99 110.14 110.14 110.81 110.97 110.99 109.73 109.81 110.02 110.18 110.21 110.25 110.36 110.51 110.6 110.95 111.18 111.19 111.69 111.7 111.83 111.77 111.73 112.01 111.86 112.04
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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