easystats / easystats/effectsize

Weighted effect sizes

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#388 1 comment 1 reaction 0 assignees View on GitHub

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enhancement 🔥
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_*...

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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

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