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Data:
62 64 62 64 64 69 69 65 56 58 53 62 55 60 59 58 53 57 57 53 54 53 57 57 55 49 50 49 54 58 58 52 56 52 59 53 52 53 51 50 56 52 46 48 46 48 48 49 53 48 51 48 50 55 52 53 52 55 53 53 56 54 52 55 54 59 56 56 51 53 52 51 46 49 46 55 57 53 52 53 50 54 53 50 51 52 47 51 49 53 52 45 53 51 48 48 48 48 40 43 40 39 39 36 41 39 40 39 46 40 37 37 44 41 40 36 38 43 42 45 46
Seasonal Period
12
12
1
2
3
4
6
12
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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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