![]() The ttest function of Pingouin returns the T-value, the p-value, the degrees of freedom, the effect size (Cohen’s d), the 95% confidence intervals of the difference in means, the statistical power and the Bayes Factor (BF10) of the test. Pingouin is designed for users who want simple yet exhaustive stats functions.įor example, the ttest_ind function of SciPy returns only the T-value and the p-value. Plotting: Bland-Altman plot, Q-Q plot, paired plot, robust correlation… Parametric/bootstrapped confidence intervals around an effect size or a correlation coefficient python -m pip install matplotlib python -m pip install pandas python -m pip install. Linear/logistic regression and mediation analysis Installation and support information for the Coding Pack for Python. Robust, partial, distance and repeated measures correlations Pairwise post-hocs tests (parametric and non-parametric) and pairwise correlations For a full list of available functions, please refer to the API documentation.ĪNOVAs: N-ways, repeated measures, mixed, ancova Without it, if the package is already installed pip will inform you of this and exit without doing anything. Some of its main features are listed below. pip install -U numpy pip install -U scipy Note that the -U option to pip install requests that the package be upgraded. Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy.
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