Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
55.5 63 77.2 71.1 90.1 91.5 76.1 87.8 81 77.2 73.8 68.9 68.4 65.2 78.7 77 97.6 88.1 98.7 93.4 68 87.9 75.8 66.3 68.4 71.3 77.4 87.1 88.5 85.9 92.7 88.5 80.2 81.8 70.4 82.2 72.8 69 83 92.4 92.3 100.5 106.9 99.5 85.9 92.6 77.4 84.1 75.3 73.8 100.1 90.7 96.5 111.8 97.4 100.8 93.7 82 86 84.3 73.1 75.4 97.9 97.5 106 112.8 99.5 100.8 102.9 88.8 91.3 88.3 77.4 80.5 96.7 93.8 105 117.1 111.1 105.8 95.7 97.1 91 90.9 83.5 82.3 101.7 108.3 114 118.2 103.4 106.8 95.4 101.8 95.6 94.8 94 82.4 95.8 106.7 114.1 103.9 117.4 105.9 101.7 98.7 91.3 102.3 80.5 86.7 102.6 107.3 108 124.3 117.1 103.9 104.7 95.9 94.2 102.7 70.3 90.2 107.3 104.6 102.7 124.5 117.8 104.2 99.9 91.5 95.7 91.4 86.2 91.5 115.5 113.9 131.9 121.2 105.2 107.5 113.8 100.5 104.8 103.8 93.1 106.2 117.5 109.9 123.6 131.7 111 122 110.9 108 103.6 107.3 94.4 85.2 113.2 111.7 124.3 124 133.4 112.6 115.8 112.3 103.6 111.4 95.1 93.4 117.3 121.5 123.1 139.3 125.8 108.6 121 111.6 99.7 116.7 90.3 90.4 117.3 121.6 114.6 133.3 127.4 115 112.6 108.3 107.6 109 89 102.5 124.5 124.2 130.8 138.7 127.6 130.9 136.9 125.2 131.3 124.1 103.2 118.1 136.5 117.8 145.1 158.8 136.9 132.7
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()
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation