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@markur4
markur4 committed Mar 8, 2024
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Expand Up @@ -231,8 +231,9 @@ integration simplifies the interface and expands options for pair
selection in multidimensional plots, enhancing both user experience and
interpretability.

`plotastic` also focuses on annotating statistical inside the plot. It integrates `statannotations` for annotating p-values
from pairwise comparisons inside the plot
`plotastic` also focuses on annotating statistical information inside
the plot. It integrates `statannotations` for annotating p-values from
pairwise comparisons inside the plot
[@charlierTrevismdStatannotationsV02022], and simplifies the interface
and offering further options for pair selection in multidimensional
plots.
Expand All @@ -245,7 +246,7 @@ tests include two-factor RM-ANOVA, ANOVA, Friedman, and Kruskal-Wallis.
Posthoc tests are implemented through `pingouin.pairwise_tests()`,
offering (paired) t-tests, Wilcoxon, and Mann-Whitney-U.

To sum up, plotastic stands as a unified and user-friendly solution
To sum up, `plotastic` stands as a unified and user-friendly solution
catering to the needs of researchers and data scientists, seamlessly
integrating statistical analysis with the power of plotting in Python.
It streamlines the workflow, translates `seaborn` parameters into
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