easystats / easystats/effectsize
Weighted effect sizes
Nobody has claimed this yet.
- Dominant language
- R
- Stars
- 353
- Forks
- 25
- Avg merge
- 9h 21m
- Merged PRs (30d)
- 1
Description
Weighting is already implemented in standardize.default() and standardize_parameters() (and eta_squared() via the fit models).
Would be nice to have this also (with weights = arg) in:
-
cohens_d()etc -
cramers_v()etc - Rank effect sizes
Perhaps we can steal borrow some code from sjstats::weighted_*...
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the implementations of cohens_d(), cramers_v(), and the rank effect-size functions, then compare their existing weighting support in standardize.default(), standardize_parameters(), and eta_squared(). The sjstats::weighted_* reference may help identify reusable behavior. Done means the listed effect-size families accept a weights argument with consistent weighted results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- analytics
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100