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Data:
-0.385868851153837 4.81234262686034 -5.86804122114596 16.0725680225492 -8.57525163788969 5.08247518971098 0.092732021505415 3.83298655010795 5.81986266263392 37.1247698411582 -0.456916305824569 -3.62813490741323 -3.87648507892191 4.61958462101272 -12.967748044016 3.19886759717217 -5.74783565702396 -0.568909646003526 -7.15658094463292 -18.0497313555278 15.6314099338156 -18.6819481453537 -0.704909311621681 2.59171945848611 2.56763423323193 0.363060127151921 32.5587282582796 8.52568321864334 1.42269516052334 3.53469472344553 0.904411865388995 -1.1005444418027 13.3248076718110 -33.5907843348750 -0.845486516554237 42.0892768528428 -6.25360506437205 -11.0785340316643 -29.2902232669615 -11.1727173982373 13.9239510644368 13.5369579913798 -16.4941540115674 -9.38355957013267 -2.83541693438183 -2.88173330956316 6.18397479401454 3.71189006095175 3.17508248559435 -4.18249526402528 13.6042900329871 4.81933405297545 10.0482983006261 9.69015652302726 -13.6259654676286 2.81390485024080 2.39082408194279 9.1175078099302 14.2141474796521 3.49385172983141 5.51425675339953 -6.1504957612917 2.72297593670155 -11.1163190852539 -4.69675096946234 1.81576665288666 -10.4353591925503 6.036622781552
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
Summary of computational transaction
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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