sample sizes
- Dominant language
- Python
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- 16
- Forks
- 9
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Description
Hello,
I read on https://forum.qiime2.org/t/evident-effect-size-and-power-calculations-for-microbiome-community-data/23146/8
"The power analysis assumes that a new experimental design will have equal number of samples from each of the groups."
Regarding the quote above, does that mean that the power analysis results reflect the power of an experimental design with equal sample size per group (eg group A n=10, group B, n=10, group C n=10)? If we input data into Evident from an experiment with unequal sample sizes (eg group A n=2, group B, n=5, group C n=10), would the Evident output reflect the power based on the sample sizes of the data that was input?
thank you for your time.
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Research direction
No files, tests, or entry points are mentioned. First determine where Evident documents or implements power-analysis sample-size assumptions, then confirm the behavior for equal and unequal groups with the maintainers. Done means the expected behavior is answered and documented in the appropriate project documentation.
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Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100