Comments (1)
raphaelvallat
commented on August 24, 2024
Hi @ajdneuro12 !
Thank you for the suggestion. So far I have only implemented two power-related functions, namely ttest_power and anova_power (see here). I definitely agree that it would be great to have a more exhaustive approach, with the possibility to compute and plot the sample size and/or power (e.g. similar to the GPower software).
I am gonna be traveling a lot in December and therefore will not have much time to work on Pingouin, but if you feel that you can help please do not hesitate to append new functions to the power.py file!
Thanks again for your positive feedback and suggestions, I really appreciate!
Raphael
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Related Issues (20)
- Change solver in sklearn.LogisticRegression HOT 1
- Two new test failures fails in Fedora Rawhide HOT 3
- Chi-Square Identified Significant Groups, Now Which One is More Significant? HOT 2
- chi2_independence p-values are possibly reversed HOT 2
- Remove call to sns.despine in paired_plot
- Rename development branch HOT 1
- Potential fix for numerical instabilities for corr and partial_corr: z-normalize HOT 1
- FloatingPointError: divide by zero encountered in double_scalars when calculating t test HOT 1
- pandas > 1.5 reason? HOT 2
- Mann-Whitney U (mwu): Order of `x` and `y` determines sign of rank-biserial correlation (RBC) HOT 4
- Two-Way-ANOVA results do not show p-values. HOT 3
- How to handle categorical covariates with more than two levels in pg.partial_corr? HOT 1
- Bug in ANCOVA function (ValueError: assignment destination is read-only) HOT 1
- Feature request: add CI to ANOVA/Tukey HOT 1
- chained assignment issue HOT 1
- pg.bayesfactor_pearson(r=-0.856, n=64, alternative="greater") returns wrong BF value
- Mann-Whitney U (mwu): the computation of rank-biserial correlation (RBC) is problematic
- How to solve RuntimeWarning: invalid value encountered in double_scalars and RuntimeWarning: Mean of empty slice. HOT 2
- Computation for Cohen's d in ttest seems to use the wrong fomula
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