MathParser.org-mXparser
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Implementation of cumulative distribution function and the quantile function of the t, F and chi-squared distributions.
Issue title:
- Implementation of cumulative distribution function and the quantile function (inverse cumulative distribution function) of the t, F and chi-squared distributions.
Issue content:
Using acumulative distribution function and the quantile function (inverse cumulative distribution function) of the t, F and chi-squared distributions. These are the distributions related to the normal distribution and are important in statistical inference.
If bug/question:
- MathParser.org-mXparser verssion: v.4.4.2
- Framework: java
Thanks, in the next release I will try to include this.
Great news @mariuszgromada! When the next version is planned to be released?
Thanks for all your work!
Awesome work @mariuszgromada! Are you still working on F Snedecor? Thanks!
We are planning to install the new version of Mathparser on our Sakai in the next few months!
Thanks @jesusmmp F will be implemented soon :-)
I am working on this now :-)
rFSned(d1, d2)- Random variable - Snedecor's F distribution (F-distribution or F-ratio, also known as Fisher–Snedecor distribution)pFSned(x, d1, d2)- Probability distribution function - Snedecor's F distribution (F-distribution or F-ratio, also known as Fisher–Snedecor distribution)cFSned(x, d1, d2)- Cumulative distribution function - Snedecor's F distribution (F-distribution or F-ratio, also known as Fisher–Snedecor distribution)qFSned(p, d1, d2)- Quantile function (inverse cumulative distribution function) - Snedecor's F distribution (F-distribution or F-ratio, also known as Fisher–Snedecor distribution)
@jesusmmp done :-) Soon will be released in v.5.1
Enjoy :-)
Great news! Thanks @mariuszgromada! :)
@jesusmmp please let me know in case you have other needs related to the Sakai, I will be happy to support :-)
@jesusmmp v.5.1.0 has just been released :-) I added also serialization features, #207