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Data:
0.00448570722258807 0.00161627008051144 -0.00148103604695934 0.00370662236561495 0.00365213590849957 -0.00111929007561087 0.00202894670871937 -0.00319537555574839 -0.000115297471801953 0.000207732752387937 -0.000193809964066644 -0.000617502855287235 0.00267917863791114 0.00101870086796636 0.00122816042981585 0.00164007142023998 -0.000425131732519528 -0.00136244733432715 0.000558705725005591 0.000315360633839379 0.00209902605197982 0.000918783548783637 0.00185127411835918 0.00296081256507189 0.000115071804741404 0.00224444271218977 0.00358967265745595 -0.000791569555137633 0.000820898909146944 0.0042654643382554 0.000352135463422806 0.00101319797453202 0.00577618519868283 -0.00317793724831984 0.00276463935659925 -0.00335592071342644 -0.00207518674583269 0.00250587076741912 0.00127015567990493 0.00582329478916602 0.00347779560993236 0.00106706078643245 -0.00208869630491994 0.00118711723817082 0.000678895704500574 -0.00133031152020092 4.66272759626643e-05 -0.00190522951870584 0.00492388039825642 -0.000982094706596713 0.00158700153242671 -0.00324114444069905 -0.00109834861765504 -0.00307957607000311 0.00246280425525008 0.000451168657026153 0.000557078701682656 -0.000667750757797388 -0.00189007898443563 0.00111563541279842 0.00235327038447162 0.00439708454751803 0.00118393590213247 -0.00548126638100145 -0.00487263830895669 0.00328381565008992 0.000385101134086802 0.00344659419526791 0.000301555401043752 -0.00262866719031730 0.00118629498011972 -0.000377642996183579 0.000626204256106537 0.0008049247836587 -0.000155132511933779 0.00321473719305704 0.00180526825813112 -0.00103547278097048 0.00202972923549924 0.00127992120343444 -0.00170430074604714 0.00588152522860069 -0.00257880934823165 -0.00270165345509185 0.000605358855440578 0.00366563922443009 0.0045409959925552 -0.000643791480355452 -0.000592834618556011 0.00277039361546545 0.00405977710356672 0.000665078000940488 -0.000969006282867427 -0.00158668951022226 -0.000794393348260039 0.000638022815746765 -0.00214771844939365 0.00105058419629655 -0.00254981462795891 0.00262015509706327 0.00153553233128507 -0.000947475648852895 0.00124325433079447 0.00104583455268845 -0.00480731405784928 -0.00122987289697014 0.00206882711674461 0.00183460657908581 -0.00177412254735189 0.00199191110992592 -0.00181600070846074 0.00190792404916493 -0.00352131241210541 -0.000333990880691547 0.00189578833611634 -0.00158666313146865 -0.00022224948193303
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')
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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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