Hi
I am writing a python code for performing stepwise-MR algorithm for selecting informative variables. I need to calculate critical F such as following MATLAB code in python:
Fcrit = finv( (1-0.5), 1, dof)
which dof is the degree of freedom in denominator.
Is there an equivalent for this MATLAB function in python?
In Python, you can use the scipy.stats.f.ppf() function, which uses the following syntax:
scipy.stats.f.ppf(q, dfn, dfd)
where:
- q: The significance level to use
- dfn: The numerator degrees of freedom
- dfd: The denominator degrees of freedom
This function returns the critical value from the F distribution based on the significance level, numerator degrees of freedom, and denominator degrees of freedom provided.
Hi, you can find similar functions in the SciPy library. SciPy has a number of distributions; from there you can look into the f.distribution (https://docs.scipy.org/doc/scipy/reference/stats.html).
A sample code would be:
import scipy.stats as sps f = sps.f(5, 2)
Hope it helps!
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