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Data:
66.6 89.1 96.2 78.9 107.5 96.2 36.9 100.3 102.1 101.1 90.6 71.8 69 85.7 95.8 83 100.2 102 42.9 99.9 91.3 107.5 89.7 65.5 74 78 97.1 95.2 95.5 98.1 46.8 88.5 103 104.9 91 61.3 69.8 80.2 99.3 93.9 89.5 101.6 53.6 86.4 109.4 108 86 68.4 74.8 86.9 110.6 96.3 91.1 110.7 48 97 109.9 105.2 91.4 80.6 69.2 83.9 91.5 107.1 95.9 116.9 46.2 103.3 115.9 103 99.8 80.7 77.3 85.1 111.1 93.8 107 114.3 47.3 101 114.8 108.9 103.9 76.9 82.9 93.1 110.9 95.3 102.3 114.2 51.5 105 106 117.9 102.7 74.5 93.9 104.5 92.3 118.3 106.4 113.7 61.3 97.6 118.7 112.1 94.5 77 77.6 93.8 115.6 101.8 102.3 117.6 59.3 104.1 123.4 121.3 91.8 74.1 73.4 84.2 128.3 110.3 102.3 127.7 59 107.2 124.2 120.3 100.3 63 83.4 109.6 130.1 103.1 127 113.6 54.3 113.5 129.8 117.9 114.4 85.6 97.9 96.2 136 111.3 125 128.7 69.4 124.2 125.9 134 123 82.8 76.4 98.2 112.1 117.9 117.6 128.8 69.8 109.5 129.8 130.7 111 88.5 104.8 108.3 122.4 109.5 108.5 118 68 103 128.2 128.7 103.9 80.5 92.2 98.4 119.2 105.2 100.5 123.7 65.3 104.2 122.3 125.4 97.4 76.9 92.6 102.8 107.2 115.7 105.3 124.7 59.7 110 127.1 118.1 98.6 90.6 83.6 107.7 133.1 98.7 121 124 60.3 110.4
Seasonal Period
2
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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1 seconds
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Big Analytics Cloud Computing Center
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