Kedar Palsule a écrit : > Hi Team, > > I cant figure out how to download the development version 2.1 of Apache Math > Commons. Alternatively, it would be good if I could figure out how to > download the nightly build. > The problem is that the official release, version 2.0, has a bug in a part > of the code that I need. > > Please let me knowif I can do either
Since 2.1 is not released yet, you have to download the sources from the subversion repository and build it yourself. Here is a way to do it from the command line in a linux environment: svn checkout http://svn.apache.org/repos/asf/commons/proper/math/trunk cd trunk mvn package Luc > Best Regards, > Kedar > > On Mon, Feb 22, 2010 at 5:59 AM, kalpa rajadurai <[email protected]> wrote: > >> Hi Team, >> >> Thanks for your quick response. >> >> We would like to know, when this bug will be fixed and probably when >> Commons >> Math 2.1 Version would be released? As our project is dependent on your >> API, >> it would be highly appreciated if we get the fix or any kind of work around >> as soon as possible. >> >> Thanks in advance >> >> On Sat, Feb 20, 2010 at 8:41 PM, Phil Steitz <[email protected]> >> wrote: >> >>> kalpa rajadurai wrote: >>>> Hi Team, >>>> >>>> We are working on a small project in designing a web based statistical >>>> calculator, supporting certain distribution functions. >>>> >>>> we used method *cummulativeProbability(double x)* of *class >>>> NormalDistributionImpl* for implementing Normal distribution function. >>>> >>>> We tried to cross check Apache API's result with that of OpenOffice >> Calc >>> and >>>> Excel's result. In most of the cases, the results matched with each >>> other. >>>> But in certain rare cases, the cumulativeProbability() method returned >> by >>>> slightly different result when compared to the result returned by >>> NORMDIST() >>>> function of openoffice calc and Excel. >>>> >>>> Here goes the illustration of the case where we found the mismatch in >>>> results: >>>> >>>> *Using Apache's API:* >>>> NormalDistribution normDist = new NormalDistributionImpl(40,1.5) >>>> ; >>>> try{ >>>> System.out.println("cummulative probability:: >>>> "+normDist.cumulativeProbability(0.908789)); >>>> } >>>> catch(MathException e){ >>>> e.printStackTrace(); >>>> } >>>> >>>> *Result:* >>>> cummulative probability:: *-8.104628079763643E-15* >>>> >>>> *Using openoffice calc:* >>>> Same input values given in openoffice calc using the formula: >>>> *=NORMDIST(0.908789;40;1.5;1)* >>>> >>>> *Result:* >>>> *0.0* >>>> >>>> *Using Microsoft Excel:* >>>> Same input values given in excel using the formula: >>>> *=NORMDIST(0.908789;40;1.5;1)* >>>> >>>> *Result:* >>>> *5.0738E-150* >>>> >>>> *Different results:* >>>> Apache -8.104628079763643E-15 >>>> Openoffice 0.0 >>>> Excel 5.0738E-150 >>>> >>>> We wish to know the following things, >>>> 1.) What is the reason for this variation in results? >>> The difference is due to different numeric algorithms used to >>> approximate the cumulative probabilities - in particular how extreme >>> values are handled. The probability in the example is very close to >>> zero - all three agree on that. >>> >>>> 2.) Which result is more accurate? >>> Excel is likely the best answer; though the only confirmation that I >>> can give of that is that R gives the same answer and the correct >>> answer is certainly positive. The worst answer is the one reported >>> by commons-math. The value should not be negative. This is likely >>> related to an open bug (MATH-301). Thank you for reporting this. >>> >>>> 3.) Is there any possibility to get the same results as Open Office or >>> Excel >>>> for this case, using Apache's API? >>> Commons Math 2.1 will correct the bug mentioned above, so we will >>> return either 0 or a positive value for this and other extreme tail >>> probabilities. >>> >>> Thanks again for pointing out the discrepancy. >>> >>> Phil >>> >>>> Hope to receive reply from your team at the earliest as possible. >>>> Thanks in Advance >>>> >>> >>> --------------------------------------------------------------------- >>> To unsubscribe, e-mail: [email protected] >>> For additional commands, e-mail: [email protected] >>> >>> >> >> -- >> Karpaga R >> >> "Did you always know that?" >> "No, I didn't. But I believed" >> ---Matrix III >> > --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
