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Data:
-0.361846007532772 3.68863098861213 0.682519663180303 7.63067731671178 -1.52075037210644 5.70955581144987 13.1939928862509 -5.49940323517293 1.76500444649349 1.96677142422135 -5.60662922820024 -7.31646013152379 -1.08563548801227 -0.099103421317697 -9.39514313732207 -6.39447775845358 -2.02805473224696 0.903602088633067 7.57491469457003 -2.19407311445752 3.58898833702079 -1.68951274457543 -1.53671157669086 13.3598886375142 -3.65726657887787 0.613493186862468 9.24506908223031 11.0285738876639 -3.49893748343257 -6.55850163797107 5.54750744110568 16.5005808635365 -0.0867999869147866 -10.1895526735612 -1.56002146200367 3.61791774409454 -3.46228026897451 -0.839719033549138 -1.74844063591575 -5.59275453302008 -4.31083509741400 8.28778989827125 -14.0676602788114 -4.07578881412959 3.95794121224257 -2.54404876219145 24.3555160491049 11.7342693021934 3.81944484749606 -2.98176766619709 7.45551605729516 -6.39245158356992 11.7003155629076 2.36027611470617 -7.48442696186156 -2.54111530629837 -2.30507409276129 10.8550201878513 -2.11331989623902 3.4086895867965 11.2003605872847 -1.20537867882487 5.81786820725412 -2.61150202837964 -1.54008349441135 -5.42145151519334 11.6034074049369 -9.06789177079852
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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