![]() 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 Linear/logistic regression and mediation analysis Robust, partial, distance and repeated measures correlations For Python 2.7 conda create -n py27 python2.7 ipykernel For Python 3.5 conda create -n p圓5 python3.5 ipykernel Copy Now that we now about various tools and libraries and also have installed Python, lets move on to some of the advanced features in the most commonly used tool, Jupyter Notebooks. 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 Some of its main features are listed below. Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy.
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