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Data:
10519.20 10414.90 12476.80 12384.60 12266.70 12919.90 11497.30 12142.00 13919.40 12656.80 12034.10 13199.70 10881.30 11301.20 13643.90 12517.00 13981.10 14275.70 13425.00 13565.70 16216.30 12970.00 14079.90 14235.00 12213.40 12581.00 14130.40 14210.80 14378.50 13142.80 13714.70 13621.90 15379.80 13306.30 14391.20 14909.90 14025.40 12951.20 14344.30 16093.40 15413.60 14705.70 15972.80 16241.40 16626.40 17136.20 15622.90 18003.90 16136.10 14423.70 16789.40 16782.20 14133.80 12607.00 12004.50 12175.40 13268.00 12299.30 11800.60 13873.30 12315.00
Seasonal Period
1
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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R Server
Big Analytics Cloud Computing Center
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