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
<[email protected]>
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 least-squares 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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