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Data:
88 88.4 95 101.8 107.6 118.9 126.9 106.3 109.2 104.6 100.8 92.1 86.4 96 98.5 112 113.9 120 126.7 112.8 116.2 110.6 105 101.2 99.3 101.9 106.4 118.9 121.9 132 121.4 117 122.7 113 104 101.2 100.8 98.9 103 117.8 126.6 127.6 115.8 114.8 119.2 109.9 98.9 98.6 96.6 96.7 103.5 115.3 122.5 125.3 111.2 110.7 114.2 105.6 95.5 97.3 95.5 96.3 100.2 113.4 121.4 122.1 119.3 110.8 110.1 99.7 104.8 105.4
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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