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Data:
721.8 836.7 817.8 804.3 773.3 789.6 882.5 868.9 885.7 880.6 846.2 875.4 799.6 946.3 987.3 892.4 885.1 937.1 935.9 944.2 930.9 874.0 891.9 902.2 767.0 912.5 918.6 713.4 849.9 875.9 1010.9 1049.2 900.5 1111.6 898.2 1034.3 996.7 1188.9 1092.5 952.0 959.1 846.1 903.0 1089.5 879.9 1057.0 932.6 745.5 817.2 808.3 832.9 801.2 773.1 710.8 820.4 814.9 833.5 864.3 844.9 733.6
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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