non-pairwise effect sizes
- Dominant language
- Python
- Stars
- 16
- Forks
- 9
- PR merge metrics
- No merged PRs in 30d
Description
Hello,
I trying to use evident and am wondering if there is a way to filter the data before calculating non-pairwise effect sizes.
I want to calculate the non-pairwise effect size of one category (species). I have five variables currently in that category (water, dog, cat, rabbit, mouse). Is it possible to calculate non-pairwise effect size of only dog, cat, rabbit, mouse ie by first filtering out the water samples?
Alternatively, is it possible to derive non-pairwise effect sizes for the four species based on pairwise effect sizes? For instance, I calculate pairwise effect sizes based on all five variables (water, dog, cat, rabbit, mouse) then I ignore the pairwise effect sizes that involves water samples. Using the remaining effect sizes (related to dog, cat, rabbit, mouse), can I calculate a non-pairwise effect size?
Thank you for your time.
Contributor guide
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Research direction
Start by locating Evident's non-pairwise effect-size entry point and how it selects category values. Determine whether filtering out water or deriving a four-species result from pairwise effects is supported; the work is done only after the intended behavior and acceptance criteria are clarified.
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Assessment
- Tech stack
- python
- Domain
- analytics, data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100