DABEST-python
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ACCLAB
Data Analysis with Bootstrapped ESTimation
NEW Features: - Added new DABEST feature for plotting of empty dots related swarmplots via `empty_circle` in `.plot()` method - Updated swarmplot function with two new features - dots can...
 Add the error curve catching up with dabestr
As most of the paired plots include delta and delta-delta features, I would like to request for the delta-delta/delta-g feature for the paired proportion plots. _Sample proportion plot data_
Two feature enhancements: - slopegraph jittering optional arguments, to allow clearer visualisations of paired ordinal response data (https://github.com/ACCLAB/DABEST-python/issues/181) - bias adjustment to compensate permutation p-values, according to approximate integral method...
Permutation p-values sometimes result in 0, due to the finite number of permutations. This should not be the case, according to a detailed account of the problem as detailed by...
For discrete data, the data plots generally overlay points or lines over each other, obscuring information. A facility to add jitter to the data visualisation, without affecting the effect size...
**Is your feature request related to a problem? Please describe.** ```python groups_baseline = dabest.load(df, idx=("1", "2", "3", "4", "5"), paired="baseline", idx="id") ``` doesn't show a colored plot **Describe the solution...
### Summary The `contrast_ylim` argument currently has no effect when using matplotlib. A previous discussion (#128) mentioned that supporting `contrast_ylim` was considered not feasible at that time due to automatic...
