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Data:
-64.7052505627806 -3456.92146791498 1221.53818880044 -3425.92181819955 476.517449571596 771.237252580258 1486.03059810756 -1420.53604746731 -1231.65983588785 -1072.35237321869 -1028.79999310919 1689.70160953415 104.781462266857 3056.00468005053 2058.12890000085 -2120.15571952206 857.951846139995 -7653.62307012801 -3625.47032737070 -1066.78246083915 1480.43801029269 383.807285529813 -183.460775788262 -412.66366558563 -3386.49397717813 -868.872254604358 -4519.64765815746 3043.34922909291 4526.15618595789 2298.41482668304 1992.23133104446 1442.95792211978 -893.403718302956 3167.99873285149 231.403932376355 -534.568799433291 -3856.42358359645 -418.841481409176 -1376.94550043225 1524.94083007199 -6240.6385168242 512.555201154925 1722.16374385519 756.960403479329 2999.69977354755 -2634.01843507769 -1578.85998252178 78.6364326059933 -376.690663222133 992.978747098893 994.51938653588 -10.5193017588915 -921.573813091965 606.066588722763 1003.79725596858 1201.6546911613 1805.44593151825 596.116762365994 -1360.77445520603 3383.24617420951 -5515.05833999521 -2431.17906069741 4733.10028012447 4010.28330224708 -2898.76736676388 76.4283006144755 -2221.26939354851 2373.68897140019 -1244.72571223942 537.169792121625 2246.81073824300 864.588365965909 611.893000896821 -1922.54556007542 -2682.31131104567 86.6180766216501 2273.08966203739 3100.18749454311 -3642.00381742456 -661.164658428561 -728.23512638401 -3035.53289896783 585.916426040515 -2542.63265568714
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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