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Data:
105.5 106.4 117.9 89.7 88.5 106.4 61.4 92.3 95.5 92.5 89.6 84.3 76.3 80.7 96.3 81 82.9 90.3 74.8 70.1 86.7 86.4 89.9 88.1 78.8 81.1 85.4 82.6 80.3 81.2 68 67.4 91.3 94.9 82.8 88.6 73.1 76.7 93.2 84.9 83.8 93.5 91.9 69.6 87 90.2 82.7 91.4 74.6 76.1 87.1 78.4 81.3 99.3 71 73.2 95.6 84 90.8 93.6 80.9 84.4 97.3 83.5 88.8 100.7 69.4 74.6 96.6 96.6 93.1 91.8 85.7 79.1 91.3 84.2 85.8 90 76.6 81.3
Seasonal Period
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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