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Data:
7008.8 7046.8 7161.9 7112.8 7160.1 7176.5 7255.9 7270.9 7381.8 7581.1 7712.5 7954.3 7752.9 7370.6 7084.3 7038.9 6879.7 7090.7 7271 7397.7 7356.9 7290.2 7791.9 7830.9 7345 7436.7 7322.1 7845.7 7953 8206.7 8095.7 7977.9 7792.8 7674.6 7770.8 7836.4 7580.5 7965 7703.2 7635.3 7344.4 7230.8 7277 7124.9 7109.2 6956.1 6817.5 6841.3 6864 6749 6688.2 6623.5 6675.9 6708 6643.7 6448 6700.9 6592 6495.2 6497.4 6504.9 6514.4 6595.4 6675.2 6777.9 6962.2 6849.5 6864.5 6877.1 7189.1 7106.8 7056.5 6315.2 6241.9 6345.4 6411.1 6338.1 6435.9 6324 6403.6 6345.2 6225.3 6596.1 6663.1 6221.2 6293.3 6245.8 6435.7 6239.6 6414.1 6558.8 6576.4 6381.4 6366 6380.2 6297.2 6001.9 5785.2 5586.5 5394.5 5476.6 5375 5200.6 5232.4 5046.9 5209.3 5396.8 5477.1 5649.8 5283.1 4879.5 4708.6 4643.8 4553.9 4475.6 4422.8 4346.2 4491 4394.7 4377 4311.2 4137.5 3930.9 3933.5 3838.4
Seasonal Period
N2070
12
1
2
3
4
6
12
Chart options
R Code
par1 <- '4' 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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