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Data:
1076.7 1035.9 1037 1154 1237.2 996.6 1238.2 1153.4 1268.1 1156 1144.5 1232.9 1055.2 1109.7 1079.8 1126.3 1196.8 1130.4 1183.6 1200.9 1426.6 1080.4 1325.4 1230 1125.9 1174.5 1151.9 1439.3 1344.3 1319.1 1257.6 1249.1 1397.1 1348 1548.2 1377.6 1402.9 1167.6 1392.9 1547 1420 1266.4 1280.8 1128.6 1449.5 1511.7 1548.3 1652 1650.5 1370.8 1653.3 1474.3 1418.8 1554.1 1156.6 1223.4 1337.5 1098.9 1037.6 1202.5
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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