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Data:
5250.0 3937.0 4004.0 5560.0 3922.0 3759.0 4138.0 4634.0 3996.0 4308.0 4143.0 4429.0 5219.0 4929.0 5755.0 5592.0 4163.0 4962.0 5208.0 4755.0 4491.0 5732.0 5731.0 5040.0 6102.0 4904.0 5369.0 5578.0 4619.0 4731.0 5011.0 5299.0 4146.0 4625.0 4736.0 4219.0 5116.0 4205.0 4121.0 5103.0 4300.0 4578.0 3809.0 5526.0 4247.0 3830.0 4394.0 4826.0 4409.0 4569.0 4106.0 4794.0 3914.0 3793.0 4405.0 4022.0 4100.0 4788.0 3163.0 3585.0 3903.0
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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