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Data:
59.9 59.9 59.9 60.9 60.9 60.9 61.1 61.1 61.1 60.2 60.2 60.2 60.1 60.1 60.1 59.7 59.7 59.7 60.5 60.5 60.5 59.5 59.5 59.5 59.5 59.5 59.5 59.7 59.7 59.7 60.4 60.4 60.4 60 60 60 59 59 59 59.3 59.3 59.3 59.7 59.7 59.7 60.4 60.4 60.4 59.9 59.9 59.9 60.5 60.5 60.5 60.4 60.4 60.4 60.6 60.6 60.6 60.9 60.9 60.9 61 61 61 61.2 61.2 61.2 61.2 61.2 61.2 60.3 60.3 60.3 60.4 60.4 60.4 61.2 61.2 61.2 62.1 62.1 62.1 61.7 61.7 61.7 61.6 61.6 61.6
Seasonal Period
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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0 seconds
R Server
Big Analytics Cloud Computing Center
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