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Data:
144.63 124.24 135.21 119.80 102.79 109.42 99.61 83.02 95.29 116.18 81.25 71.35 128.63 134.85 167.22 147.01 104.08 111.61 82.63 80.48 93.46 104.55 87.97 63.36 136.50 117.44 133.53 121.53 102.82 124.11 82.47 85.96 90.34 90.80 84.80 49.10 146.65 135.41 158.36 124.67 122.70 108.72 83.33 79.52 83.55 96.35 79.77 42.99 142.84 121.85 140.67 118.67 115.19 118.30 93.70 85.76 93.73 113.70 90.93 58.46 144.86 138.19 137.77 146.55 118.52 123.15 92.73 81.64 94.17 103.34 71.46 52.82 116.78 110.56 127.52 120.22 94.15 104.45 87.32 77.88 91.95 103.19 85.96
Seasonal Period
36
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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