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Data:
3.68 3.72 3.77 3.92 4.12 4.03 3.93 4.03 4.24 4.13 3.87 4.26 4.46 4.56 4.58 4.85 4.84 4.51 4.37 4.23 4.23 4.25 4.41 4.28 4.42 4.39 4.44 4.62 4.64 4.34 4.22 4.01 4.11 4.06 3.82 3.76 3.83 3.79 3.92 4.04 4.02 4.03 3.96 3.7 3.54 3.37 3.39 3.49 3.3 3.14 3.31 3.3 3.26 3.43 3.6 3.76 3.57 3.59 3.66 3.85
Seasonal Period
36
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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