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Data:
106.9 107.5 116.1 102 111.2 111.8 91.2 93 105.4 111.6 104.6 91.6 98.3 97.7 106.3 102.3 106.6 108.1 93.8 88.2 108.9 114.2 102.5 94.2 97.4 98.5 106.5 102.9 97.1 103.7 93.4 85.8 108.6 110.2 101.2 101.2 96.9 99.4 118.7 108 101.2 119.9 94.8 95.3 118 115.9 111.4 108.2 108.8 109.5 124.8 115.3 109.5 124.2 92.9 98.4 120.9 111.7 116.1 109.4 111.7 114.3 133.7 114.3 126.5 131 104 108.9 128.5 132.4 128 116.4 120.9 118.6 133.1 121.1 127.6 135.4 114.9 114.3 128.9 138.9 129.4 115 128 127 128.8 137.9 128.4 135.9 122.2 113.1 136.2 138 115.2 111
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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