③ Finally, we added a new metric deltas' g to DABEST, similar to Hedges' g, designed for delta-delta effect size comparisons, facilitating the analysis of metrics from diverse units. 🧵4/6

② We've now made the asymmetric Swarm plot from dabestr 'Lapis' the default option, enhancing the clarity and interpretability of underlying data distributions. 🧵3/6

① In the latest DABEST release, our paired proportion plot has evolved to incorporate Sankey diagrams' principles, showing a clear visualization of proportional changes between measurements. 🧵2/6

② Users may add a baseline error curve to shared control contrast plots, displayed below the control group. This is the distribution of the bootstrapped mean differences from comparing the control against itself and is a measure of inherent variability within the control group.

We have also added several features not yet present in the Python version of the package: ① As you may have noticed from the images in the thread below, we have adopted asymmetrical swarmplots, thereby better showing the distribution underlying the raw data.

④ Last but not least, we introduce the mini-meta plot, a quick way to do meta-analytic averaging from similar experiments. This provides an easy way to summarize results from multiple replicates. This makes meta-analysis of primary data available as a convenient tool.

③ Instead of Fisher’s exact test for the comparison of proportions, you can now use the new DABEST proportion plots. It plots the variance of the observed binary counts and the effect-size curve of the difference of proportions. This function can be used with repeated measures.

For example, ∆∆ plots will be useful for genotype × drug analyses or optogenetic (light × opsin) experiments. A major benefit of the ∆∆ plot is how it places focus on the overall effect size.

Repeated-measures plots enable you to see a series of effect sizes relative to a baseline measurement.

📢To our R users: We will soon release a new version of dabestr (acclab.github.io/dabestr/) with brand new goodies such as repeated measures, proportion plot, mini-meta and delta-delta. #rstats #datascience We want to know how you prefer to get the package (poll in next tweet): 1/2