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Data:
3904.45 4137.2 4334.5 4188.6 4304.1 4570.45 4178.85 4515.15 4740.55 4582.2 4493.6 4437 4294 4581.35 4780.15 4632 4648.2 4834.85 4465.25 4671.65 4871.3 4707.8 4580.45 4562.25 4329.7 4646.1 4844.1 4623 4707.2 4844.9 4436.75 4680.85 4873.8 4735.15 4681.9 4607 4436.4 4614.1 4619.25 4507.1 4515.85 4725.4 4250.85 4591.6 4898.15 4675.45 4568.95 4531.05 4387.35 4826.1 4954.35 4814.85 4821.55 5148.05 4810.75 4988.05 5322.65 5157 5006.65 4910.2 4764.05 5093.7 5312.2 5157.6 5192.4 5546.6 5092.05 5423.25 5647.2 5450.05 5360.3 5309.25 5181 5488.6 5668.15 5560.8 5590.45 5850.7 5252.2 5626.1 5819.8 5676.35 5525.5 5359.55 5296.85 5623.75 5899.3 5672.6 5724.75 5995.1 5475.2 6143.95 6366.95 6306.1 6077 5672.4 5458.6 5716.9 5828.1 5706.85 5888.3 6007.7 5581.85 5970.95 6190.4 6079.15 5902.2 5554.4 5320.45 5683.1 5987.9 5843.7 5917.5 6299.45 5846.75 5998.1
Seasonal Period
12
1
2
3
4
6
12
Chart options
R Code
par1 <- '12' 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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