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Data:
19819.6 17512.40 18831.10 20175.50 21470.90 19929.70 22465.90 19618.40 18600.20 17271.00 18524.10 18830.40 19293.30 15802.20 17283.00 19534.60 16787.00 17144.00 18587.40 15434.00 14922.40 15794.30 16032.10 16065.00 16236.80 12521.00 14762.10 15446.90 13635.00 14212.60 15021.70 14134.30 13721.40 14384.50 15638.60 19711.60 20359.80 16141.40 20056.90 20605.50 19325.80 20547.70 19211.20 19009.50 18746.80 16471.50 18957.20 20515.20 18374.40
Seasonal Period
Default
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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