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Data:
46.8 52.8 58.3 54.5 64.7 58.3 57.5 56.7 56 66.2 58.2 53.9 53.1 54.4 59.2 57.8 61.5 60.1 60.1 58.4 56.8 63.8 53.9 63.1 55.7 54.9 64.6 60.2 63.9 69.9 58.5 52 66.7 72 68.4 70.8 56.5 62.6 66.5 69.2 63.7 73.6 64.1 53.8 72.2 80.2 69.1 72 66.3 72.5 88.9 88.6 73.7 86 70 71.6 90.5 85.7 84.8 81.1 70.8 65.7 86.2 76.1 79.8 85.2 75.8 69.4 85 75 77.7 68.5 68.4 65 73.2 67.9 76.5 85.5 71.7 57.9 75.5 78.2 75.7 67.1 74.6 66.2 74.9 69.5 76.1 82.3 82.1 60.5 71.2 81.4 74.5 61.4 83.8 85.4 91.6 91.9 86.3 96.8 81 70.8 98.8 94.5 84.5 92.8 81.2 75.7 86.7 87.5 87.8 103.1 96.4 77.1 106.5 95.7 95.3 86.6 89.6 81.9 98.4 92.9 83.9 121.8 103.9 87.5 118.9 109 112.2 100.1 111.3 102.7 122.6 124.8 120.3 118.3 108.7 100.7 124 103.1 115 112.7 101.7 111.5 114.4 112.5 107.2 136.7 107.8 94.6 110.7 126.6 127.9 109.2 87.1 90.8 94.5 103.3 103.2 105.4 103.9 79.8 105.6 113 87.7 110 90.3 108.9 105.1 113 100.4 110.1 114.7 88.6 117.2 127.7 107.8 102.8 100.2 108.4 114.2 94.4 92.2 115.3 102 86.3 112 112.5 109.5 105.9 115.3 126.2 112.2 112.5 106.9 90.6 75.6 78.8 101.8 93.9 100 89.2 97.7 121.1 108.8 92.9 113.6 112.6 98.8 78
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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