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Data:
87.1 105 120.3 97 109.9 111.7 74 82.8 116.1 117.6 112.2 100 95.4 102.3 118.3 98.2 119 112.8 73.3 89 111.8 115.4 111.2 99.9 95.2 99.8 108.5 102.7 100.7 107.9 78.5 75.3 110.4 110.5 93.4 92.7 92.2 93.3 95.5 100.6 89.3 96 80 79.1 112.4 110.2 93.3 95.3 86.5 94.1 108.2 91.3 84.9 105.9 81 78.8 111.7 105.3 98.8 100.3 84.5 94.1 102.5 96.8 93.4 111 71.5 81.2 117.3 104.8 116.9 105.9 96.8 101.6 116.2 100.3 107.7 108.4 75.1 88.3 115.4 116.4 109.5 101.8 91.9 96.5 111.5 91.7 99 112 74.4 92.8 115.9 126.6 112 106.6 85.8 95.6 106 105.3 100 106.4 84.5 82.9 118.3 124.8 88.5 86.7 82 84.6 98.9 90.3 86.6 103.9 71.7 78.7 108.5 102.9 98.7 95 83.2 86.3 108.8 93.8 87.9 110.6 84.6 83.3 115.9 112.4 111.8 121.4 96.8 108.7 124.4 97.2 117.3 105.3 94.9 101.4 130.6 110.4 112.3 107.8 100.9 116.7 126.5 104.7 109.6 131.5 93.3 97.1 122.6 119 117.5 104.1 94.1 103.5 111.3 110.7 107.7 108.5 85.4 83.2 105.4 111.8 104 102.1 92 102.5 109.1 98.5 95.1 101.6 84.4 78.7 114.7 116.4 93.2 106 87.9 97.5 108.2 103.5 93.1 113.7 73.2 77.3 107.1 106.9 96.6 101 87.5 101.8 110.8 96.3 97.9 114.8 77.4 87 106.6 101.8 96.6 96.4 85.4 88.9 108.6 86.7 90.7 105.1 76.8 78.7
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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