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Data:
101.5 99.2 107.8 92.3 99.2 101.6 87.0 71.4 104.7 115.1 102.5 75.3 96.7 94.6 98.6 99.5 92.0 93.6 89.3 66.9 108.8 113.2 105.5 77.8 102.1 97.0 95.5 99.3 86.4 92.4 85.7 61.9 104.9 107.9 95.6 79.8 94.8 93.7 108.1 96.9 88.8 106.7 86.8 69.8 110.9 105.4 99.2 84.4 87.2 91.9 97.9 94.5 85.0 100.3 78.7 65.8 104.8 96.0 103.3 82.9 91.4 94.5 109.3 92.1 99.3 109.6 87.5 73.1 110.7 111.6 110.7 84.0 101.6 102.1 113.9 99.0 100.4 109.5 93.0 76.8 105.3
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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