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Data:
101.4 100.7 111.7 96.9 101.9 107.2 86.7 92.7 101.4 107.1 100.8 91 96.3 96.7 106.7 104.8 103 105.7 92.4 91 107.7 112 102.1 94.8 99.4 98.7 106.2 103.9 99.5 105.3 93.9 88.3 109.3 112.1 100.3 101.5 96.5 98.8 115.9 106.5 100.7 114.6 97.2 96.8 117.2 112.6 107 106.6 98.9 98.8 110.3 104.4 100.7 117.7 89.1 94.9 112.4 104.9 109.3 104.3 102.3 103.2 118.8 102.6 112.2 116.6 93.6 100 116.4 118.9 114.5 106.2 109.8 107.3 121.9 108.8 111.8 119.8 102.5 103.4 114.4 124.1 115.6 105.2 114.1 115.3 115.8 119.9 112.1 119.7 106.2 101.5 119.3
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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Big Analytics Cloud Computing Center
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