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Data:
2888.9 2916.2 2939.5 2968.3 2986.7 3008.4 3035.3 3059 3078.4 3096.8 3125.2 3157.6 3186 3215.2 3257.8 3296 3330.6 3366.2 3402.9 3426.1 3461.3 3488 3509.5 3536 3561 3593.2 3620.4 3630.4 3643.1 3672.5 3692.2 3719.4 3744.1 3768.3 3803.5 3838.9 3860.4 3879.8 3905.5 3932.4 3959.7 3980.7 4012.8 4037.7 4065 4086.4 4106.9 4137.5 4166.3 4177.8 4176.4 4189.8 4218 4235.9 4237.9 4264.6 4295.5 4327.8 4340.1 4340.2 4375.3 4405.2 4433.3 4472 4507.4 4525.5 4562.5 4581.6 4591 4614 4643.3 4674.6 4687.4 4703.2 4728.3 4757.1 4765.2 4785.4 4810.1 4830.2 4843.3 4861.1 4875.6 4897.3 4901.5 4900.4 4914.6 4930.2 4917 4936.1 4942.3 4951.1 4975.6 4973.5 4963.4 4974.8 5001.8 5013.4 5007.9 4985.6 4967.1 4988.9 4999.8 4988.3 4975.5 4981.1 4993.4 4992.9 4994.1 5014.4 5028.6 5025.4 5021.7 5026.9 5026.6
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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