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Data:
100.0 100.0 100.0 100.1 100.0 100.0 99.8 100.0 99.9 99.2 98.7 98.7 98.9 99.2 99.8 100.5 100.1 100.5 98.4 98.6 99.0 99.1 98.9 98.5 96.9 96.8 97.0 97.0 96.9 97.1 97.2 97.9 98.9 99.2 99.5 99.3 99.9 100.0 100.3 100.5 100.7 100.9 100.8 100.9 101.0 100.3 100.1 99.8 99.9 99.9 100.2 99.7 100.4 100.9 101.3 101.4 101.3 100.9 100.9 100.9 101.1 101.1 101.3 101.8 102.9 103.2 103.3 104.5 105.0 104.9 104.9 105.4 106.0
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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