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Data:
56.5 69.4 81 68 69.1 66.3 46.4 71.6 75.8 78.7 73.2 53.3 60.3 71.4 73.1 73.4 66.4 69.9 53.9 72.7 77.3 78.6 73.4 63.7 73.8 81.5 93.7 92.9 79.4 81.8 69.3 82.9 90.1 95 83.3 64.6 64.7 85.5 88.5 84.8 81.2 74.3 68.1 82.3 91.6 95.2 76.5 64 62.2 70 93.3 91.1 73.9 90.9 70.7 85.5 91.3 88.3 79.8 68.5 64.8 72.5 84.1 89.1 82.9 100.1 63.8 87.6 96.5 121.3 121.8 111.5 81.9 85.7 106.8 94.7 104.8 110.5 82 102.7 103.8 111.1 100.4 92.5 88.9 97.3 116.2 105.9 107.1 115.4 90.9 123.6 103.5 111 106.9 83.5 113.8 104.2 126.9 125.8 112.9 119.9 105.1 123.4 113.3 114.4 93 73.9 64.9 83.5 90.5 92.1 85.8 99.1 76.7 92.5 106.8 108.5 95.3 67.2 59.4 74.3 111.2 112.4 102.6 127.5 88.4 118.5 112.9 111.1 111 70.6 84.9 102.4 115.6 105.3 118 111.5 72.8 118.7 112.9 107.4 105.2 85.7 88.2 78.8 111.5 99.4 108.7 112.4 79.1 94.7 99.3 111.6 96.1 67.2 66.8 78.9 87.8 97 103.5 103 85 91.7 96.6 105.8 87.5 74 80.7 82.2 92.8 97.1 90.4 90.3 78.1 84.5 95.8 101.4 82.1 72 99 86.6 114.9 101.2 104 119.4 106.2 106.8 113.4 110.8 97.9 83.4 85 89 117.9 112.5 100.3 111.5 66.3 120.4 131.3 118.6 120 100.1 83 99.2 123.7 104 113.9 122.2 98.7 114.8
Seasonal Period
12
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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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