Dabestr

Overview:

The dabestr is a package for data analysis using Bootstrap-Coupled Estimation statistics. It provides a simple framework that focuses on the effect size of experiments/inventions and avoids the pitfalls of significance testing by using means, mean differences, and error bars. It presents estimation plots with swarmplots displaying all data points and the effect size represented by a bootstrap 95% confidence interval.

Features:

• Data Analysis using Bootstrap-Coupled ESTimation
• Focuses on Effect Size
• Estimation Plot with Swarmplot
• Bootstrap 95% Confidence Interval
• Powers estimationstats.com
• Available in Python and Matlab

Summary:

dabestr is a valuable package for data analysis that emphasizes the effect size of experiments and avoids relying solely on significance testing. With features like estimation plots and bootstrap confidence intervals, it provides a user-friendly framework for statistical analysis. The availability in multiple languages and contribution guidelines make it a versatile and collaborative tool for researchers and analysts.