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Data:
59.8 60.7 59.7 60.2 61.3 59.8 61.2 59.3 59.4 63.1 68 69.4 70.2 72.6 72.1 69.7 71.5 75.7 76 76.4 83.8 86.2 88.5 95.9 103.1 113.5 115.7 113.1 112.7 121.9 120.3 108.7 102.8 83.4 79.4 77.8 85.7 83.2 82 86.9 95.7 97.9 89.3 91.5 86.8 91 93.8 96.8 95.7 91.4 88.7 88.2 87.7 89.5 95.6 100.5 106.3 112 117.7 125 132.4 138.1 134.7 136.7 134.3 131.6 129.8 131.9 129.8 119.4 116.7 112.8
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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Big Analytics Cloud Computing Center
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