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A Python package for comparing groups and measuring associations using robust statistics.

Project description

Hypothesize

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A Python package for hypothesis testing using robust statistics.

Basic Example

A robust measure of association using winsorized correlation

from hypothesize.measuring_associations import wincor
from hypothesize.utilities import create_example_data

# creating an example DataFrame with columns "cell_1" and "cell_2"
df=create_example_data(2)

results=wincor(df.cell_1, df.cell_2)

# returning the correlation, number of observations, p-value, and winsorized covariance
print(results)
{'cor': 0.11, 'nval': 50, 'sig': 0.44, 'wcov': 0.01}

Documentation

:book: Please visit the Hypothesize documentation site.

Citing Hypothesize

status

If you use Hypothesize in academic work, please use the following citation:

Campopiano, A., & Wilcox, R. R. (2020). Hypothesize: Robust Statistics for Python. Journal of Open Source Software, 5(50), 2241, https://doi.org/10.21105/joss.02241

BibTex:

@article{Campopiano2020,
  doi = {10.21105/joss.02241},
  url = {https://doi.org/10.21105/joss.02241},
  year = {2020},
  publisher = {The Open Journal},
  volume = {5},
  number = {50},
  pages = {2241},
  author = {Allan Campopiano and Rand R. Wilcox},
  title = {Hypothesize: Robust Statistics for Python},
  journal = {Journal of Open Source Software}
}

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