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Data:
101.0 98.7 105.1 98.4 101.7 102.9 92.2 94.9 92.8 98.5 94.3 87.4 103.4 101.2 109.6 111.9 108.9 105.6 107.8 97.5 102.4 105.6 99.8 96.2 113.1 107.4 116.8 112.9 105.3 109.3 107.9 101.1 114.7 116.2 108.4 113.4 108.7 112.6 124.2 114.9 110.5 121.5 118.1 111.7 132.7 119.0 116.7 120.1 113.4 106.6 116.3 112.6 111.6 125.1 110.7 109.6 114.2 113.4 116.0 109.6 117.8 115.8 125.3 113.0 120.5 116.6 111.8 115.2 118.6 122.4 116.4 114.5 119.8 115.8 127.8 118.8 119.7 118.6 120.8 115.9 109.7 114.8 116.2 112.2
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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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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