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Data:
18.33 22.6 24.9 24.8 23.8 25.1 26 27.4 27.3 24.3 28.4 24.4 30.3 31.5 29.8 25.3 25.6 26.7 27.4 28.6 26.3 28.5 28.4 29.4 30.3 29.6 32.1 32.4 36.3 34.6 36.3 40.3 40.4 45.4 39 35.7 40.2 41.7 49.1 49.6 47 52 53.1 57.8 57.9 54.6 51.3 52.7 58.5 56.6 57.9 64.4 65.1 64.6 68.9 68.8 59.3 55 55.4 58 50.8 54.6 58.6 63.6 64.5 66.9 71.9 68.7 74.2 75.8
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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