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Data:
99.80 103.50 103.10 105.60 105.70 106.60 107.00 105.20 105.70 105.00 105.10 105.90 105.30 104.90 103.20 103.40 104.40 104.50 105.90 110.60 112.40 111.80 111.00 111.00 109.10 107.80 107.20 108.40 107.50 106.40 106.20 104.90 106.20 107.60 107.00 104.50 105.10 104.70 103.70 104.90 105.90 106.10 106.10 106.80 106.40 107.80 107.60 107.60 108.40 109.50 109.20 109.10 110.00 109.00 109.00 111.90 109.30 112.10 112.10 112.50 113.60 112.90 114.00 116.10 116.50 117.10 117.10 117.10 116.50 116.50 116.30 116.50 119.20 118.60 117.50 117.10 117.60 118.30 118.60 116.70
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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