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Data:
101.30 97.60 96.40 97.00 96.40 94.70 89.30 85.90 83.30 81.50 85.00 84.80 87.50 89.00 90.00 89.60 87.40 84.80 81.90 81.10 79.10 80.50 88.50 90.90 84.90 80.00 76.50 75.40 73.50 74.30 77.70 77.90 76.70 77.20 86.00 86.90 92.00 101.70 104.50 101.70 100.60 100.30 102.50 101.00 108.60 103.40 106.40 106.60 108.90 110.50 114.00 112.80 109.60 116.00 124.60 129.00 131.50 138.60 138.10 146.30 157.60 158.40 176.30 199.90 210.40 202.60 207.10 202.00 203.40 216.30 207.30 203.50 204.40 203.70 205.70 208.00 209.30 208.70 206.50 204.50
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 Input
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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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