Comments (3)
Looking forward to the update!
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Related to #58.
from statannotations.
I think it can be done rather simply, maybe with something like
class Annotator:
...
def apply_test(self, num_comparisons='auto', pairs_stats_params=None, **stats_params):
called with
# if there were two pairs
pairs_stats_params = {'alternative': ['greater', 'less']}
annotator.apply_test(pairs_stats_params=pairs_stats_params, nan_policy='omit')
alternative
would be distributed and nan_policy
would still be used for each call.
(no conclusion for #58 yet)
from statannotations.
Related Issues (20)
- how to use set_pvalues within plot_and_annotate_facets HOT 1
- Drifting annotations with FacetGrid HOT 1
- Get results as pandas dataframe?
- What does * (ns) mean? HOT 3
- report corrected p values
- Integration with new Numpy and Seaborn? HOT 1
- Seaborn categorical plot issue HOT 1
- How to plot facet grid with hue argument? HOT 5
- Possible to not show non-significant relationships? HOT 1
- Feature request: Text format that combines both numerical p-values and stars
- Possible to get statistics and p-values when using FacetGrid?
- How to keep two decimal places with text_format='full' HOT 1
- v0.60 not compatible with seaborn v0.13 HOT 6
- Add ANOVA?
- Feature request: Lineplot support
- Customize Annotations HOT 1
- Adding Tutorials to documentation site
- Use src/ folder for package
- Offset the significance brackets
- Feature request: permutation test
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from statannotations.