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Data:
90.7 94.3 104.6 111.1 110.8 107.2 99 99 91 96.2 96.9 96.2 100.1 99 115.4 106.9 107.1 99.3 99.2 108.3 105.6 99.5 107.4 93.1 88.1 110.7 113.1 99.6 93.6 98.6 99.6 114.3 107.8 101.2 112.5 100.5 93.9 116.2 112 106.4 95.7 96 95.8 103 102.2 98.4 111.4 86.6 91.3 107.9 101.8 104.4 93.4 100.1 98.5 112.9 101.4 107.1 110.8 90.3 95.5 111.4 113 107.5 95.9 106.3 105.2 117.2 106.9 108.2 113 97.2 99.9 108.1 118.1 109.1 93.3 112.1 111.8 112.5 116.3 110.3 117.1 103.4 96.2
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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