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Data:
5248.8 5149.6 5712.8 5649.4 5718.4 5989.8 5635.2 5954 5253.6 5923.6 4830.6 4042.4 4941.6 5258.2 5853.6 5356.6 5486.8 5603.4 5203.4 5584 4965.4 5566 4199.4 3677.6 4757.2 4889.8 5500.6 5227 5198.2 5055.2 4938.2 5530 4854 5204.8 4315.4 3347.6 4687 5095.2 5104.6 5003.6 5048.6 5213 5190.2 5527.4 4656.4 5222.6 4291.4 3296.4 4461.8 3933 4059.4 4785.4 4844 4801.8 4929 5047.2 4651.8 5083.2 4525.4 3617 4596.6 4729.8 5060.8 5039 5165 5223.6 5099.6 5156 4690.6 5088.4 4461.8 3539.4 4609.8 4560.4 5115.8 4966.6 5080.2 5174 5070.2 5114 4518 5053.8 4004.6 3738.6 4355.4 4493.4 4961.2 5048.2 5070 5016.4 5156.4 5139 4620.6 5241 4301.4 3491.6 4520.8 4571 5121 5002.6 5288.4 5176.4 4960 5304.4 4489.8 5164.6 4306.4 3596.8 4450.2 4494.2 5150 4947.6 5231.8 5037.4 5094.4 5228.2 5092.4 5187.4 4376.4 3650.8 4472.6 4452.6 4823.2 4858.6 5045.6 4869.8
Seasonal Period
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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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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