easystats / easystats/effectsize
More effect sizes for differences between groups
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enhancement 🔥
- Dominant language
- R
- Stars
- 353
- Forks
- 25
- Avg merge
- 9h 21m
- Merged PRs (30d)
- 1
Description
R https://doi.org/10.2466/pms.98.1.3-18the R effect size here is Epsilon squared.- Cohen's q https://github.com/easystats/correlation/issues/264
- root-mean-square standardized effect (Steiger, J. H. (2004))
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
No files, tests, or entry points are named. Start by reviewing the existing effect-size implementations for differences between groups, then verify the requested measures against the linked Cohen's q issue, the Epsilon squared reference, and Steiger's 2004 paper. Done means the requested effect sizes are supported consistently with the package's existing approach.
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
- 28/100