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Data:
15.59 13.17 11.20 13.30 10.78 11.60 15.18 15.87 12.58 11.43 10.30 11.17 11.26 11.20 9.99 11.17 10.29 10.47 14.36 16.06 14.47 13.24 13.03 14.43 13.98 13.62 12.20 12.24 12.07 12.30 16.12 18.38 14.59 12.96 14.14 13.92 14.24 14.10 12.91 13.69 14.11 13.99 17.93 21.37 16.25 14.53 15.36 14.95 15.95 15.25 12.67 13.86 14.65 12.41 17.46 18.95 15.33 15.31 14.84 14.75 15.83 14.83 13.00 13.92 13.94 12.54 18.12 17.83 14.41 15.18 12.99 13.06 12.81 12.95 10.48 13.23 11.80 11.69 15.33 14.89 12.92 11.27 10.68 11.55
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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0 seconds
R Server
Big Analytics Cloud Computing Center
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