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Data:
91.25 91.5 91.68 91.81 91.84 91.93 92.08 92.11 92.26 92.28 92.39 92.46 92.82 93.16 93.33 93.51 93.56 93.67 93.76 93.88 94.01 94.21 94.31 94.4 94.9 95.31 95.52 95.68 95.91 95.97 96.15 96.34 96.42 96.54 96.72 96.81 97.19 97.5 97.71 97.86 98.04 98.2 98.25 98.41 98.56 98.62 98.75 98.71 99.05 99.52 99.71 99.8 100.01 99.99 100.12 100.15 100.27 100.42 100.43 100.5 100.95 101.26 101.42 101.68 101.75 101.89 102.07 102.22 102.45 102.62 102.67 102.86 104.78 104.87 105.06 105.14 105.32 105.54 105.68 105.77 106.07 106.03 106.13 106.28 106.61 106.74 107.01 107.1 107.28 107.4 107.59 107.69 107.78
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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