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Data:
4678.2 3300.8 3823 4085.4 3742.4 4505 4259.4 4236 4529.8 4982 5151 5077.6 4944.2 4986 5949.8 4649.4 4564.4 4634 4993.6 4686.2 4511 4554.6 5447.2 5150.8 5184 4671 4640.6 4773 5019.8 5627.4 5273 5626.4 5574.4 5414.4 4517.8 5889.6 6024.4 5354.6 5883.6 5233.4 5268.2 4790.6 5607 4922.6 5610.8 5442.8 5517 5902.6 5576.8 5675 6109.6 5839.6 6175.8 5784.6 6059.6 5424.6 5184.2 5742.6 5835.8 6002.6 6490.2 6231.4 6016.6 6399.2 5666.8 6612.6 6290.4 6496.6 6271 6948.8 6216.4 8094.8 7462.2 6713.6 7390 7272.6 6258 6377.2 6981 6569 6289 6208 7210 7919.6 5471.8 6113.4 7464.2 6250.2 6601.8 6489.2 6545.6 6559.4 6385.8 7090.4 5306.6 6509 6020.2 5984.8 5505.8 5347.2 5656.2 5571.8 7332.8 6561.4 5677 6298.6 6511.4 5587.4 5867.6 5857.6 6315 6585 6151.2 6216.6 5517.2 5689
Seasonal Period
12
1
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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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