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Data:
78.33 78.21 78.94 77.94 77.31 75.75 77.73 77.90 77.45 77.46 77.97 77.23 76.56 76.70 76.51 76.03 76.69 76.38 76.80 76.63 77.17 78.63 78.89 76.94 77.50 79.27 79.77 78.62 78.60 77.88 78.71 79.27 80.12 81.12 81.48 82.81 82.39 82.41 82.20 81.99 81.61 83.51 84.05 82.99 83.54 84.44 84.24 83.88 84.17 84.59 84.76 85.14 85.22 84.77 84.50 84.56 83.79 83.96 84.80 84.89 84.78 84.80 84.44 84.65 84.22 84.08 85.29 85.00 84.63 84.92 84.61 84.50 84.29 84.50 84.41 84.71 84.21 83.86 84.40 83.71 84.42 85.26 85.08 85.65 85.74 85.89 86.08 85.49 85.97 85.84 86.72 85.42 83.87 85.45 85.35 84.27 83.13 83.79 83.70 83.76 83.47 83.78 84.83 84.43 84.90 85.36 85.49 85.29
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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