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Data:
2.84 2.78 2.63 2.54 2.56 2.19 2.09 2.06 2.08 2.05 2.03 2.04 2.03 2.01 2.01 2.01 2.01 2.01 2.01 2.02 2.02 2.03 2.05 2.08 2.07 2.06 2.05 2.05 2.05 2.05 2.05 2.06 2.06 2.07 2.07 2.30 2.31 2.31 2.53 2.58 2.59 2.73 2.82 3.00 3.04 3.23 3.32 3.49 3.57 3.56 3.72 3.82 3.82 3.98 4.06 4.08 4.19 4.16 4.17 4.21 4.21 4.17 4.19 4.25 4.25 4.20 4.33 4.41 4.56
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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