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Data:
3.58 3.52 3.45 3.36 3.27 3.21 3.19 3.16 3.12 3.06 3.01 2.98 2.97 3.02 3.07 3.18 3.29 3.43 3.61 3.74 3.87 3.88 4.09 4.19 4.2 4.29 4.37 4.47 4.61 4.65 4.69 4.82 4.86 4.87 5.01 5.03 5.13 5.18 5.21 5.26 5.25 5.2 5.16 5.19 5.39 5.58 5.76 5.89 5.98 6.02 5.62 4.87 4.24 4.02 3.74 3.45 3.34 3.21 3.12 3.04
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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