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Data:
88.74 88.92 88.77 89.17 89.61 89.52 89.74 89.40 89.36 89.38 89.36 89.29 89.59 89.79 89.86 90.21 90.37 90.19 90.33 90.22 90.42 90.54 90.73 91.02 91.19 91.53 91.88 92.06 92.32 92.67 92.85 92.82 93.46 93.23 93.54 93.29 93.20 93.60 93.81 94.62 95.22 95.38 95.31 95.30 95.57 95.42 95.53 95.33 95.90 96.06 96.31 96.34 96.49 96.22 96.53 96.50 96.77 96.66 96.58 96.63 97.06 97.73 98.01 97.76 97.49 97.77 97.96 98.23 98.51 98.19 98.37 98.31 98.60 98.97 99.11 99.64 100.03 99.98 100.32 100.44 100.51 101.00 100.88 100.55 100.83 101.51 102.16 102.39 102.54 102.85 103.47 103.57 103.69 103.50 103.47 103.45 103.48 103.93 103.89 104.40 104.79 104.77 105.13 105.26 104.96 104.75 105.01 105.15 105.20 105.77 105.78 106.26 106.13 106.12 106.57 106.44 106.54
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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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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