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Data:
97.5 97.1 97.5 98.5 100.5 102.8 105.2 107.4 108.0 107.6 107.0 105.8 104.3 103.8 104.4 106.2 108.5 109.8 110.3 109.7 108.7 108.9 109.7 110.4 111.4 112.6 113.6 113.8 113.2 113.6 113.9 113.4 113.8 116.0 118.3 120.5 121.9 121.2 120.2 120.6 110.2 109.2 108.7 109.9 112.2 114.5 114.7 113.2 112.1 112.6 113.6 114.0 114.5 115.0 114.9 114.8 114.3 113.7 114.5 116.0 116.6 116.2 115.7 115.6 115.2 115.0 115.7 115.9 115.6 115.9 117.0 117.9 118.8 119.9
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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