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Data:
106.70 110.20 125.90 100.10 106.40 114.80 81.30 87.00 104.20 108.00 105.00 94.50 92.00 95.90 108.80 103.40 102.10 110.10 83.20 82.70 106.80 113.70 102.50 96.60 92.10 95.60 102.30 98.60 98.20 104.50 84.00 73.80 103.90 106.00 97.20 102.60 89.00 93.80 116.70 106.80 98.50 118.70 90.00 91.90 113.30 113.10 104.10 108.70 96.70 101.00 116.90 105.80 99.00 129.40 83.00 88.90 115.90 104.20 113.40 112.20
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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