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Data:
99.20 98.10 96.10 95.50 95.70 95.90 96.20 95.70 93.40 93.40 91.90 92.80 93.20 93.80 93.80 85.10 86.10 86.50 90.00 89.10 88.40 91.40 88.00 87.80 87.40 86.20 87.80 84.60 85.00 85.70 83.90 83.60 82.60 84.90 84.20 83.80 84.20 84.40 86.00 89.70 93.90 98.40 98.30 99.30 100.50 96.90 97.50 97.50 98.90 99.30 100.60 99.90 98.80 98.60 98.20 96.30 103.40 102.70 102.70 102.60 101.60 100.90 101.10 105.60 104.70 103.80 105.40 105.60 109.20 109.50 110.10 110.00 110.30 109.30 110.20 113.00 113.60 111.20 111.30 115.00
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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