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Data:
707.6 655.6 812.9 756.2 527.9 883.9 604.4 756.0 760.8 666.6 672.1 744.8 695.5 755.7 951.0 705.9 536.8 877.3 692.4 851.7 876.1 836.3 795.9 773.9 640.4 812.7 878.7 686.0 538.9 885.6 824.3 829.8 697.7 911.6 910.6 774.7 811.3 886.6 939.6 1221.8 626.6 944.2 655.4 887.6 685.5 1031.7 752.5 681.6 640.0 648.5 766.7 692.8 495.1 860.1 722.0 633.0 640.4 777.6 619.8 544.5
Seasonal Period
1
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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