![]() It's worth noting that variables aren't saved by default. It has variables that you've generated or that you've imported from other systems. You will get the code for your command line from the workspace. You can also delete the default toolbar from the menu bar, allowing you to display the interface as a single command line. The command window is the most critical of the four. The command window, workspace, navigation toolbox, and toolstrip are the four parts of MATLAB's homepage. Wait for the K> prompt to appear after clicking the Debug key on the menu bar.Īlthough its extensive feature set delays computation speed, you will find that its graphical user interface is more straightforward and well-organized than that of other platforms such as C++ or Fortran. In the command window, you can also debug M-files. The > symbol means that the program can handle the variables' values. Two right-facing double-angle quotation marks are used to denote the prompt. 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.You'll enter results, execute functions, and open other MATLAB files in the MATLAB command window. 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 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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