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Data:
25.22 27.63 27.47 22.54 27.4 29.68 28.51 29.89 32.62 30.93 32.52 25.28 25.64 27.41 24.4 25.55 28.45 27.72 24.54 25.67 25.54 20.48 18.94 18.6 19.49 20.29 23.69 25.65 25.43 24.13 25.77 26.63 28.34 27.55 24.5 28.52 31.29 32.65 30.34 25.02 25.81 27.55 28.4 29.83 27.1 29.59 28.77 29.88 31.18 30.87 33.8 33.36 37.92 35.19 38.37 43.03 43.38 49.77 43.05 39.65 44.28 45.56 53.08 51.86 48.67 54.31 57.58 64.09 62.98 58.52 55.54 56.75 63.57 59.92 62.25 70.44 70.19 68.86 73.9 73.61 62.77 58.38 58.48 62.31 54.3 57.76 62.14 67.4 67.48 71.32 77.2 70.8 77.13 83.04 92.53 91.45 91.92 94.82 103.28 110.44 123.94 133.05 133.9 113.85 99.06 72.84 53.24 41.58 44.86 43.24 46.84 50.85 57.94 68.59 64.92 72.5 67.69 73.19 77.04 74.67
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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