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Data:
95.20 95.00 94.00 92.20 91.00 91.20 103.40 105.00 104.60 103.80 101.80 102.40 103.80 103.40 102.00 101.80 100.20 101.40 113.80 116.00 115.60 113.00 109.40 111.00 112.40 112.20 111.00 108.80 107.40 108.60 118.80 122.20 122.60 122.20 118.80 119.00 118.20 117.80 116.80 114.60 113.40 113.80 124.20 125.80 125.60 122.40 119.00 119.40 118.60 118.00 116.00 114.80 114.60 114.60 124.00 125.20 124.00 117.60 113.20 111.40 112.20 109.80 106.40 105.20 102.20 99.80 111.00 113.00 108.40 105.40 102.00 102.80
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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