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Data:
86.7 87.9 89.8 103 102.7 156.3 95 84.6 106.5 98.7 103.5 110.7 96.2 89.2 97.1 104.8 132.5 154.8 83.6 82.4 103.9 87 93.2 110.5 96.4 76.3 94 103.4 137 150.1 112.6 81.4 113.6 99.6 98.2 118.6 86.8 79.3 98.4 93.6 101 161.2 92.5 99.8 104.1 90.2 99.2 116.5 98.4 90.6 130.5 107.4 106 196.5 107.8 90.5 123.8 114.7 115.3 197 88.4 93.8 111.3 105.9 123.6 171 97 99.2 126.6 103.4 121.3 129.6 110.8 98.9 122.8 120.9 133.1 203.1 110.2 119.5 135.1 113.9 137.4 157.1 126.4 112.2 128.8 136.8 156.5 215.2 146.7 130.8 133.1 154.4 160.4 175.1 145.3
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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