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Data:
99.7 99.8 99.8 99.9 99.9 99.9 100.0 99.9 99.6 99.6 98.9 99.3 99.4 100.1 99.5 99.8 100.0 99.8 99.7 99.6 100.3 100.2 100.4 100.4 99.6 99.9 100.5 100.3 100.5 99.7 98.8 99.8 99.8 99.7 99.5 99.6 99.6 100.3 99.0 99.2 99.5 98.1 100.2 100.3 100.0 97.3 96.9 96.9 96.9 96.6 96.9 97.0 97.3 97.6 96.5 97.0 96.7 96.5 99.3 99.2 97.0 101.2 101.3 101.0 100.5 100.5 100.5 101.5 101.2 101.0 101.1 100.7 101.0
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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Big Analytics Cloud Computing Center
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