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Data:
4223.4 4627.3 5175.3 4550.7 4639.3 5498.7 5031.0 4033.3 4643.5 4873.2 4608.7 4733.5 3955.6 4590.9 5127.5 5257.3 5416.9 5813.3 5261.9 4669.2 5855.8 5274.6 5516.7 5819.5 5156.0 5377.3 6386.8 5144.0 6138.5 5567.8 5822.6 5145.5 5706.6 6078.5 6074.5 5577.6 5727.5 6067.0 7069.9 5490.0 5948.3 6177.5 6890.1 5756.2 6528.8 6792.0 6657.4 5753.7 5750.9 5968.4 5871.7 7004.9 6363.4 6694.7 7101.6 5364.0 6958.6 6503.3 5316.0 5312.7 4478.0
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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