Hello.
On Fri, 19 Jun 2015 01:46:25 0700, narjes saraie wrote:
> Hi Gilles,
>
>
> I run this example in Netbeans and struct t distribution
>
> TDistribution t = new TDistribution(29);
> double lowerTail = t.cumulativeProbability(2.656); // P(T(29) <=
> 2.656)
> double upperTail = 1.0  t.cumulativeProbability(2.75);// P(T(29) >=
> 2.75)
> double m = t.density(3);
> out.println( m );
>
>
> I want to see how I can plot this distribution or
> t.cumulativeProbability(X>x)?
As Phil already told you, there is no plotting utility within Commons
Math.
Commons Math is "only" a library of mathematical algorithms.
In your above case, you could write the values to an ASCII file (and
then
use a plotting tool to display them).
In java, this would be a code similar to the following ("import" and
exception
handling omitted):
CUT
String filename = "distribution.dat";
BufferedOutputStream out = new BufferedOutputStream(new
FileOutputStream(filename));
TDistribution t = new TDistribution(29);
final double min = 10;
final double max = 15;
final double delta = 0.01;
for (double x = min; x < max; x += delta) {
final double upperTail = 1  t.cumulativeProbability(x);
out.println(x + " " + upperTail);
}
out.close();
CUT
One plotting tool is "gnuplot":
http://gnuplot.sourceforge.net/demo/
HTH,
Gilles
>
> thanks .
>
> On Thu, Jun 18, 2015 at 7:38 AM, Gilles
> <gilles@harfang.homelinux.org>
> wrote:
>
>> Hi.
>>
>>
>> On Thu, 18 Jun 2015 06:31:00 0700, narjes saraie wrote:
>>
>>> Hi All.
>>> I am beginner in java and have some data.I want to guess a
>>> distribution
>>> for
>>> my data then calculate goodness of fit (gof).
>>> I find distribution commons math and use it ,if i want plot my
>>> distribution
>>> or CDF or probability (X>x), how do it?
>>> is it any example for distribution and plotting it.
>>> thanks.
>>>
>>
>> Perhaps it would be clearer to see what you mean with a code
>> example.
>>
>> If you want to plot a distribution implemented in Commons Math,
>> you'd
>> call one the methods defined in the "RealDistribution" interface
>> (e.g. "density(double x)").
>>
>> But maybe that the functionality which you are looking for is
>> defined
>> in package "org.apache.commons.math3.stat.inference".
>>
>> If you need to fit data to a model (e.g. find the parameters of an
>> assumed distribution), it is perhaps the leastsquares fitting which
>> you are looking for. For a univariate function, there is a utility
>> implemented as "org.apache.commons.math3.fitting.SimpleCurveFitter".
>>
>>
>> HTH,
>> Gilles
>>

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