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Data:
1.19 1.18 1.18 1.33 1.3 1.25 1.22 1.17 1.18 1.19 1.21 1.21 1.2 1.2 1.29 1.83 1.85 1.54 1.52 1.43 1.4 1.4 1.39 1.37 1.33 1.36 1.34 1.75 1.84 1.73 1.63 1.5 1.45 1.38 1.38 1.27 1.31 1.29 1.32 1.48 1.39 1.45 1.44 1.44 1.42 1.39 1.4 1.39 1.3 1.32 1.35 1.51 1.37 1.25 1.15 1.09 1.09 1.06 1.02 1.01 1 1 1.05 1.3 1.34 1.24 1.22 1.06 1 1 1 1.01
Seasonal Period
1
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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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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