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Data:
91.4 85.4 110.4 90.1 103.4 118.7 76.4 92.7 105.2 91.5 75.3 60.5 80.4 84.5 93.9 78.0 92.3 90.0 72.1 76.9 76.0 88.7 55.4 46.6 90.9 84.9 89.0 90.2 72.3 83.0 71.6 75.4 85.1 81.2 68.7 68.4 93.7 96.6 101.8 93.6 88.9 114.1 82.3 96.4 104.0 88.2 85.2 87.1 85.5 89.1 105.2 82.9 86.8 112.0 97.4 88.9 109.4 87.8 90.5 79.3 114.9 118.8 125.0 96.1 116.7 119.5 104.1 121.0 127.3 117.7 108.0 89.4 137.4 142.0 137.3 122.8 126.1 147.6 115.7 139.2 150.9
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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