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Data:
108.65 107.03 104.21 108.65 101.45 100.34 112.6 118.56 119.32 116.97 109.56 109.58 110.74 110.41 109.44 107.3 105.78 105.99 120.23 122.17 121.66 120.64 118.46 119.16 120.77 120.27 118.62 118.44 116.51 117.94 132.44 134.86 134.46 131.54 127.33 129.06 130.81 130.47 129.19 126.46 124.84 126.25 138.07 142.08 142.51 142.21 138.22 138.52 137.45 137.11 135.95 133.32 132.01 132.37 144.4 146.3 146.14 142.4 138.51 138.91 138.04 137.27 134.88 133.58 133.24 133.28 144.13 145.58 144.21 136.7 131.61 129.64 130.41 127.68 123.68 122.34 118.88 116 129.19 131.34 126 122.61 118.6 119.63
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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Summary of computational transaction
Raw Input
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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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