Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
62 67.1 75.9 67 74.2 72.2 60.2 65.8 76.2 76.6 76.8 70.6 74.5 73.5 80.2 71.5 76.6 79.6 65.5 69.2 74.8 79.4 75 67.7 72.5 71.2 78.3 76.6 74.9 76.5 69.4 67.4 77.2 82.2 75.1 70.6 75.6 73.5 79.4 77.5 72.9 78 71.5 66.6 81.8 83.5 74.6 79.8 73.9 76.6 88.9 81.7 76.5 88.8 75.5 75.2 89 87.9 85.7 89.2 82.7 81 90.3 86.3 81.5 91.1 73.1 76.4 91 86.9 89.6 90.5 86.3 86.5 98.8 84.3 91.2 95.5 78.1 81.5 94.4 98.5 95.3 91.6 92.8 90.5 102.2 91.5 94.9 102.1 88.8 89.4 97.8 108.8 100.8 95 101 101 102.5 105.6 98.3 105.5 96.4 88 108.1 107.2 92.5 95.7 84.8 85.4 94.6 86 88.6 93.3 83.1 82.6 96.7 96.2 92.6 92.7 89.9 95.4 108.4 96.2 95 109 91.9 92.2 107.1 105.6 105.4 103.9 99.2 102.4 121.8 102.3 110.1 106 91.9 100.1 112 105 103.3 101.8 100.9 104.2 116.8 97.8 100.7 107.2 96.3 95.9 104.6 107.5 102.5 94.9 98.7 96.8 108.3 103.9 102.4 107.3 101.9 92.5 105.4 113.2 105.7 101.7 101.8 102.9 109.2 105.6 103.4 108.8 98.1 90 112.8 112.2 102.2 102.5 101.8 98.8 114.3 105.2 98.3 110.1 96.4 92.1 112.2 111.6 107.6 103.4 103.6 107.7 117.9 110.4 104.4 116.2 98.9 102.1 113.7 109.5 110.3 114.5 107 109.4 124.6 104.8 112 119.2 103 106.5
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()
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation