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Data:
9005.73 9018.68 9349.44 9327.78 9753.63 10443.5 10853.87 10704.02 11052.23 10935.47 10714.03 10394.48 10817.9 11251.2 11281.26 10539.68 10483.39 10947.43 10580.27 10582.92 10654.41 11014.51 10967.87 10433.56 10665.78 10666.71 10682.74 10777.22 10052.6 10213.97 10546.82 10767.2 10444.5 10314.68 9042.56 9220.75 9721.84 9978.53 9923.81 9892.56 10500.98 10179.35 10080.48 9492.44 8616.49 8685.4 8160.67 8048.1 8641.21 8526.63 8474.21 7916.13 7977.64 8334.59 8623.36 9098.03 9154.34 9284.73 9492.49 9682.35 9762.12 10124.63 10540.05 10601.61 10323.73 10418.4 10092.96 10364.91 10152.09 10032.8 10204.59 10001.6 10411.75 10673.38 10539.51 10723.78 10682.06 10283.19 10377.18 10486.64 10545.38 10554.27 10532.54 10324.31 10695.25 10827.81 10872.48 10971.19 11145.65 11234.68 11333.88 10997.97 11036.89 11257.35 11533.59 11963.12 12185.15 12377.62 12512.89 12631.48 12268.53 12754.8 13407.75 13480.21 13673.28 13239.71 13557.69 13901.28 13200.58 13406.97 12538.12 12419.57 12193.88 12656.63 12812.48 12056.67 11322.38 11530.75 11114.08 9181.73 8614.55
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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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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