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Data:
2.61072861587664 -1.64151512748939 -5.53397130675664 -11.8684507675144 4.92307208512571 6.26712823161773 -2.76872599233773 -3.56312607919330 3.84610531691476 3.92414528449639 -2.60085355983359 -4.52415672464345 0.712363410392165 -3.83027221556495 1.64369314986718 5.1373157082981 -4.77891279135298 -0.543348509239105 10.7317442356705 -7.66239213978311 -6.30680235597392 -7.34729981849825 0.617800822224108 2.85035364935883 1.77740032934145 -3.90118201853709 4.6323076169406 -1.74030963922678 -3.27944132766354 1.09665938498306 7.05463838922537 2.50775091630909 -4.16477564673257 -3.97156359496111 -4.61876313016936 -1.80864980481552 -0.236907168104795 -3.15041173459177 3.37110805438328 -2.30793345402054 2.737897737493 -1.58208769004317 -2.47767476900079 0.167763916859109 1.76974633325578 0.440544884754961 -2.45008188331654 4.47063460393658 -6.94943202424074 8.91682112964061 -0.296516314946182 2.40580572796091 -1.75212202583747 5.39306701500983 6.30609401440519 7.82784320522538 -2.60554495964265 1.29269020570918 1.09083902934299 0.640809564220057 -0.654553416503333 3.45822878067978 1.27021269162882 -1.88415061828193 0.908614567669563
Sample Range:
(leave blank to include all observations)
From:
To:
bandwidth of density plot
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# lags (autocorrelation function)
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Chart options
R Code
par1 <- as.numeric(par1) par2 <- as.numeric(par2) x <- as.ts(x) library(lattice) bitmap(file='pic1.png') plot(x,type='l',main='Run Sequence Plot',xlab='time or index',ylab='value') grid() dev.off() bitmap(file='pic2.png') hist(x) grid() dev.off() bitmap(file='pic3.png') if (par1 > 0) { densityplot(~x,col='black',main=paste('Density Plot bw = ',par1),bw=par1) } else { densityplot(~x,col='black',main='Density Plot') } dev.off() bitmap(file='pic4.png') qqnorm(x) grid() dev.off() if (par2 > 0) { bitmap(file='lagplot.png') dum <- cbind(lag(x,k=1),x) dum dum1 <- dum[2:length(x),] dum1 z <- as.data.frame(dum1) z plot(z,main=paste('Lag plot, lowess, and regression line')) lines(lowess(z)) abline(lm(z)) dev.off() bitmap(file='pic5.png') acf(x,lag.max=par2,main='Autocorrelation Function') grid() dev.off() } summary(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Descriptive Statistics',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'# observations',header=TRUE) a<-table.element(a,length(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'minimum',header=TRUE) a<-table.element(a,min(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Q1',header=TRUE) a<-table.element(a,quantile(x,0.25)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'median',header=TRUE) a<-table.element(a,median(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,mean(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Q3',header=TRUE) a<-table.element(a,quantile(x,0.75)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'maximum',header=TRUE) a<-table.element(a,max(x)) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
Compute
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Raw Input
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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