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Data:
3996.1 3984.2 4049 4032.8 4074.1 4114.4 4091.4 4166.6 4152.5 4112.7 4145.9 4174.4 4183.6 4172.5 4280.3 4327.4 4251.2 4256.5 4285.7 4257.4 4231.9 4274.3 4248.3 4310.5 4301.9 4336.5 4385.1 4310.4 4378.8 4338 4304.2 4266.9 4230.1 4230.6 4353.2 4371.2 4393.2 4250.2 4129.5 4124.9 4177.1 4156.9 4111.9 4167.4 4190.7 4165 4209.8 4250 4224.8 4322.7 4311.7 4373.8 4358.9 4441.2 4538.9 4444.8 4537.8 4490.2 4517.3 4561.9 4567 4588.3 4656.8 4677.7 4684.2 4752.8 4738.9 4785.6 4742.7 4711.4 4758.1 4800.5 4877.3 4885 4941.4 5009.4 5017.5 4984.1 4903.9 4968.6 4937.3 4987.1 5001.9 5094.6 5177.8 5206.1 5253.1 5284.3 5266.8 5225.1 5272.8 5529.8 5535.2 5715.9 5672.2 5475.7 5435.3 5458.5 5373.3 5395.3 5515 5410.9 5400.2 5424.2 5388.5 5482.1 5506.9 5377.2 5353.5 5401.1 5438.1 5510.2 5499 5606.5 5644 5440.7
Seasonal Period
12
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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