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Data:
5750.5 3881.6 4350.4 6623.4 3375.5 6651.7 4394.8 4968.3 6355.6 4515.7 4620 5804.4 6254.4 4788.6 4446.4 8018 3745.9 6928.2 5201.7 5520.9 6801.9 5225.1 5149.4 6240.4 7045.4 5402.1 4960.6 9459.3 3979.4 7215.1 5797 5577.6 7380.8 5788.6 5116.3 6819.3 7671 5337 4955.7 9143.8 4624.6 7702.4 6297.4 5652.3 7801.3 5901.2 5296.7 7803.5 8177.1 5546.3 5651.5 12289.7 4769.1 8294.5 6422.3 6021.3 9241 6229.5 5691.5 8546.9 8174 6027.9 6566.4 10926.6 5963.5 9914 6063.1 6939 9774.2 6358.2 6432 9365.5 8930.6 6189.7 6820.5 12889.2 7102.5 10824.9 6619.1 7613.6 9923.3 6842.6 7121.3 8913 9952.4 6514.1 6480.5 13960.4 6918.6 11060.1 7232.9 7846.2 10293.9 7698.6 7050.7 10190 10071.3 6765.7 6480.5 14038 6356 10338.9 7859.3 7642.6 10935 7806.5 7309.5 10363.6 10403.1 6274.7 7212.7 13835.1 6218.4 12087.8 7905 7810.1
Seasonal Period
12
12
1
2
3
4
6
12
Chart options
R Code
par1 <- as.numeric(par1) n.orig <- length(x) x <- na.omit(x) 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) if(n.orig!=n) { a<-table.row.start(a) a<-table.element(a,'Warning: NAs were removed from the time series! The results shown below will only be correct if the NAs are all located at the start and/or end of the time series.',6,F) 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(myx,lag=1,differences=smalld) if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd) a<-table.element(a,signif(var(myx), digits=6)) a<-table.element(a,'Range',header=TRUE) a<-table.element(a,signif(max(myx)-min(myx), digits=6)) a<-table.element(a,'Trim Var.',header=TRUE) smyx <- sort(myx) sn <- length(smyx) a<-table.element(a,signif(var(smyx[smyx>quantile(smyx,0.05) & smyx<quantile(smyx,0.95)]), digits=6)) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable.tab') bitmap(file='pic0.png') op <- par(mfrow=c(2,2)) plot(x,type='l',xlab='time',ylab='value',main='d=0, D=0') plot(diff(x,lag=1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=0') plot(diff(x,lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=0, D=1') plot(diff(diff(x,lag=1,differences=1),lag=par1,differences=1),type='l',xlab='time',ylab='value',main='d=1, D=1') par(op) dev.off()
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Big Analytics Cloud Computing Center
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