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Data:
26.81 28.24 27.58 27.98 27.84 27.49 26.97 27.71 27.46 27.04 28.00 27.32 26.36 26.15 25.94 24.00 24.32 23.10 22.92 23.56 22.17 22.36 19.86 20.07 19.21 19.99 20.47 21.17 21.25 21.18 21.21 21.11 21.94 22.56 23.23 19.50 19.32 19.00 18.98 19.88 19.48 19.52 19.52 19.75 19.64 20.23 20.40 20.91 21.95 21.83 22.27 21.99 21.66 20.32 20.62 20.28 20.79 22.86 22.59 23.29 21.87 21.52 22.00
Seasonal Period
3
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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