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Data:
19685.6 19601.7 16006.9 17681.2 19790.4 17014.2 17424.5 18908.9 15692.1 15160 15794.3 16032.1 16065 16236.8 12521 14762.1 15446.9 13635 14212.6 15021.7 14134.3 13721.4 14384.5 15638.6 19711.6 20359.8 16141.4 20056.9 20605.5 19325.8 20547.7 19211.2 19009.5 18746.8 16471.5 18957.2 20515.2 18374.4 16192.9 18147.5 19301.4 18344.7 17183.6 19630 17167.2 17428.5 16016.5 18466.5 18406.6 18174.1 14851.9 16260.7 18329.6 18003.8 15903.8 19554.2 16554.2 16198.9 16571.8 17535.2 16198.1
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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Big Analytics Cloud Computing Center
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