-
Notifications
You must be signed in to change notification settings - Fork 156
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Implementation of cumulative distribution function and the quantile function of the t, F and chi-squared distributions. #238
Comments
Thanks, in the next release I will try to include this. |
Great news @mariuszgromada! Thanks for all your work! |
Awesome work @mariuszgromada! We are planning to install the new version of Mathparser on our Sakai in the next few months! |
Thanks @jesusmmp |
I am working on this now :-) |
…-ratio, also known as Fisher–Snedecor distribution) #238 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! |
@jesusmmp please let me know in case you have other needs related to the Sakai, I will be happy to support :-) |
Issue title:
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:
The text was updated successfully, but these errors were encountered: