Python package to calculate affect sizes (Cohen's δ, Hedge's g, Cliff's δ and Vargha-Delaney's A)
At the moment, only Cliff's δ is implemented. The other effect sizes will be added soon.
from effect_size_analysis.cliff_delta import cliff_delta
from numpy.random import rand
x: ndarray = rand(100)
y: ndarray = rand(100)
cliff_delta(s1=x,s2=y,alpha=0.05,accurate_ci=True)(0.0136, (-0.1455859031658134, 0.17209949612394954))
The first value is the delta value, while the second tuple represents the confidence interval.
If you use this work, please consider citing the following paper:
- Alchieri, Leonardo, et al. "Lateralization Effects in Electrodermal Activity Data Collected Using Wearable Devices." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8.1 (2024): 1-30.
@article{alchieri2024lateralization,
title={Lateralization Effects in Electrodermal Activity Data Collected Using Wearable Devices},
author={Alchieri, Leonardo and Abdalazim, Nouran and Alecci, Lidia and Gashi, Shkurta and Gjoreski, Martin and Santini, Silvia},
journal={Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies},
volume={8},
number={1},
pages={1--30},
year={2024},
publisher={ACM New York, NY, USA}
}For any information, contact me, Leonardo Alchieri, at leonardo@alchieri.eu. This package was developed as part of my PhD at USI (Università della Svizzera italiana), Switzerland.