Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/rohitsanj/doex

Python library for Design and Analysis of Experiments
https://github.com/rohitsanj/doex

anova anova-test binder design-of-experiments factors latin-square one-way-anova probability probability-distribution python-library statistical-analysis statistics-library two-way-anova

Last synced: about 2 months ago
JSON representation

Python library for Design and Analysis of Experiments

Host: GitHub
URL: https://github.com/rohitsanj/doex
Owner: rohitsanj
License: bsd-3-clause
Created: 2020-10-15T07:41:24.000Z (about 4 years ago)
Default Branch: master
Last Pushed: 2020-12-08T05:29:52.000Z (about 4 years ago)
Last Synced: 2024-10-14T09:37:55.505Z (2 months ago)
Topics: anova, anova-test, binder, design-of-experiments, factors, latin-square, one-way-anova, probability, probability-distribution, python-library, statistical-analysis, statistics-library, two-way-anova
Language: Python
Homepage: https://doex.rohitsanjay.com
Size: 137 KB
Stars: 14
Watchers: 2
Forks: 3
Open Issues: 5
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE

Awesome Lists containing this project

README

        [![Build Status](https://github.com/rohitsanj/doex/workflows/CI/badge.svg)](https://github.com/rohitsanj/doex/actions)

[![Downloads](https://pepy.tech/badge/doex)](https://pepy.tech/project/doex)

[![Downloads](https://pepy.tech/badge/doex/week)](https://pepy.tech/project/doex)

[![image](https://codecov.io/github/rohitsanj/doex/coverage.svg?branch=master)](https://codecov.io/github/rohitsanj/doex?branch=master)

[![Documentation Status](https://readthedocs.org/projects/doex/badge/?version=latest)](https://doex.rohitsanjay.com/en/latest/?badge=latest)

[![PyPI](https://img.shields.io/pypi/v/doex.svg)](https://pypi.org/project/doex/)

[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)

[![Python 3.7](https://img.shields.io/badge/python-3.7-blue.svg)](https://www.python.org/downloads/release/python-370/)

[![Python 3.8](https://img.shields.io/badge/python-3.8-blue.svg)](https://www.python.org/downloads/release/python-380/)

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/rohitsanj/doex/master?filepath=notebooks%2Fdoex-demo.ipynb)

# doex - Design and Analysis of Experiments

Python library for conducting design of experiments.

## Installation

```bash

pip install doex

```

## Online Demo

Try out `doex` in an online Jupyter Notebook - [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/rohitsanj/doex/master?filepath=notebooks%2Fdoex-demo.ipynb)

## Sample usage

```python

import doex

exp = doex.OneWayANOVA(

    [24, 28, 37, 30], # Treatment 1

    [37, 44, 31, 35], # Treatment 2

    [42, 47, 52, 38], # Treatment 3

)

```

```

+---------------------+-----+----------------+---------------------+-------------+---------+

| Source of Variation | DOF | Sum of Squares | Mean Sum of Squares | F statistic | p value |

+---------------------+-----+----------------+---------------------+-------------+---------+

|      Treatments     |  2  |    450.6667    |       225.3333      |    7.0356   |  0.0145 |

|        Error        |  9  |    288.2500    |       32.0278       |             |         |

|        Total        |  11 |    738.9167    |                     |             |         |

+---------------------+-----+----------------+---------------------+-------------+---------+

```

## Documentation

Visit the doex [documentation][documentation].

## Implementations

- [Completely Randomized Design / One-Way ANOVA](https://doex.rohitsanjay.com/en/latest/examples.html#completely-randomized-design)

- [Randomized Complete Block Design / Two-Way ANOVA](https://doex.rohitsanjay.com/en/latest/examples.html#randomized-complete-block-design)

- [Latin Square Design](https://doex.rohitsanjay.com/en/latest/examples.html#latin-square-design)

- [Graeco-Latin Square Design](https://doex.rohitsanjay.com/en/latest/examples.html#graeco-latin-square-design)

- [Randomized Complete Block Design with missing values](https://doex.rohitsanjay.com/en/latest/examples.html#randomized-complete-block-design-with-missing-values)

- Balanced Incomplete Block Design (TODO)

- Factorial Designs (TODO)

## Acknowledgements

- Adapted from [https://github.com/pawanaichra/doe](https://github.com/pawanaichra/doe).

[documentation]: https://doex.rohitsanjay.com/