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Data:
2540.9 2370.3 1807.5 1834.8 786.8 1561.4 1347.2 1549.8 1553.8 1822.5 3078.7 1589.1 1791.5 2558.1 2111.8 2083.1 2052.1 2243.5 2622 1952.6 808.9 1709.8 1582.1 865.6 1116.1 1119.4 2350 1975.6 2536.5 2785 2819.7 1829.5 758.3 2921.6 2482 1892.7 1855.1 2151.3 1642.2 1640.5 1366.1 1532.8 824.4 -518.7 -978.5 1162.5 1243.4 1199.5 883.1 1437.2 534.5 -1901.9 -2521.1 -1721.1 -3094.5 -3694.8 -2492.1 -464.6 -626.1 -1711.4
Seasonal Period
4
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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