garner-code / garner-code/PsyR
function to normalise co-efficient vectors?
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Description
To normalise contrast coefficients for a contrast, each of the original (non-normalised) coefficients is divided by Σc2 (where Σc2 is the sum of squares of the original coefficients), with the result that rescaled coefficients have Σc2norm = 1.0. The statistical package PSY calculates SSE and SS(ψˆ ) for within subjects contrasts with respect to normalised coefficient vectors.
Contributor guide
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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 locating the package's existing contrast-coefficient handling and any statistical tests, then verify the intended normalization definition against the PSY behavior. Done means a callable function produces normalized coefficient vectors with the stated sum-of-squares property and has coverage for representative contrasts.
Written by the indexing model from the issue text.
Assessment
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100