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Data:
94.1 86.2 102.6 101.3 81.7 85.4 96.7 101.1 104.5 114.7 109.7 110.8 113.2 95.6 87.9 85.6 114.5 100.9 102.6 109.3 115.1 108.7 116 116.5 115.5 100.7 112 117.5 124.3 123.4 120.2 124.4 122.4 125.4 135.6 122.9 123.5 101.3 127.8 125.1 128 116.1 127 117.2 110.9 119.2 110.9 123.1 117.9 110.3 109 114.6 114.8 111.6 122.1 118.4 107.2 115.7 101.1 114.4 100.7 95.1 105.5 113.4 85 74 84.5 102.6 102.8 104.3 93.4 106.1 98.5 91.7 99.6 102.4 107.7 102.9 98.4 108.9 95.3 97.9 96.9 80.5 96.6 100.3 97.3 76.6 85.7 91.9 101.2 111.1 103.1 113.9 109.6 109.6 105.4 98.4 101.3 101.1 101.2 92.7 98.8 108.9 96.7 105 92.7 99.9 93 90.1 95 95.4 99.8 91.4 85 96.6 95.7 95.5 97.2 104.9 106 102 97.3 88 89.8 97.3 103 108.7 100.8 104.9 103.2 98.9 104.8 91.6 96.5 87.7 86.6 90.7 88.9 97.4 93 80 70.3 83.3 92.2 88.7 91.6 96.4 102.9 100.8 100.8 94.6 91.8 91.1 96.1 99.3 87.6 95 98 103.2 110.2 109.5 107.9 101.3 98.3 97.5 102.9 106.3 93.7 101.7 105 110.5 118 117.2 115.5 108.4 105.2 104.4 109.4 112.9 88.7 89.9 98.5 103.8 110.8 102.2 98.6 101.8 107.3 98 97.4 96.7 102.4 110.2 120.9 114.9 109.1 103.7 98.5 101.8 107.3 117.7 116.9 116.9 116.9 116.9 116.9 116.9 116.9 116.9 116.9 116.9
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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