{"id":16801812,"url":"https://github.com/rohitsanj/doex","last_synced_at":"2025-08-10T04:33:15.774Z","repository":{"id":57423473,"uuid":"304247881","full_name":"rohitsanj/doex","owner":"rohitsanj","description":"Python library for Design and Analysis of Experiments","archived":false,"fork":false,"pushed_at":"2020-12-08T05:29:52.000Z","size":140,"stargazers_count":15,"open_issues_count":5,"forks_count":3,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-07-23T20:05:18.705Z","etag":null,"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"],"latest_commit_sha":null,"homepage":"https://doex.rohitsanjay.com","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rohitsanj.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-10-15T07:41:24.000Z","updated_at":"2025-04-16T11:29:20.000Z","dependencies_parsed_at":"2022-09-07T04:52:20.209Z","dependency_job_id":null,"html_url":"https://github.com/rohitsanj/doex","commit_stats":null,"previous_names":[],"tags_count":7,"template":false,"template_full_name":null,"purl":"pkg:github/rohitsanj/doex","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitsanj%2Fdoex","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitsanj%2Fdoex/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitsanj%2Fdoex/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitsanj%2Fdoex/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rohitsanj","download_url":"https://codeload.github.com/rohitsanj/doex/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rohitsanj%2Fdoex/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":269677378,"owners_count":24457844,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-10T02:00:08.965Z","response_time":71,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["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"],"created_at":"2024-10-13T09:37:53.980Z","updated_at":"2025-08-10T04:33:15.749Z","avatar_url":"https://github.com/rohitsanj.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Build Status](https://github.com/rohitsanj/doex/workflows/CI/badge.svg)](https://github.com/rohitsanj/doex/actions)\n[![Downloads](https://pepy.tech/badge/doex)](https://pepy.tech/project/doex)\n[![Downloads](https://pepy.tech/badge/doex/week)](https://pepy.tech/project/doex)\n[![image](https://codecov.io/github/rohitsanj/doex/coverage.svg?branch=master)](https://codecov.io/github/rohitsanj/doex?branch=master)\n[![Documentation Status](https://readthedocs.org/projects/doex/badge/?version=latest)](https://doex.rohitsanjay.com/en/latest/?badge=latest)\n[![PyPI](https://img.shields.io/pypi/v/doex.svg)](https://pypi.org/project/doex/)\n[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)\n[![Python 3.7](https://img.shields.io/badge/python-3.7-blue.svg)](https://www.python.org/downloads/release/python-370/)\n[![Python 3.8](https://img.shields.io/badge/python-3.8-blue.svg)](https://www.python.org/downloads/release/python-380/)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/rohitsanj/doex/master?filepath=notebooks%2Fdoex-demo.ipynb)\n\n# doex - Design and Analysis of Experiments\n\nPython library for conducting design of experiments.\n\n## Installation\n\n```bash\npip install doex\n```\n\n## Online Demo\n\nTry 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)\n\n## Sample usage\n\n```python\nimport doex\n\nexp = doex.OneWayANOVA(\n    [24, 28, 37, 30], # Treatment 1\n    [37, 44, 31, 35], # Treatment 2\n    [42, 47, 52, 38], # Treatment 3\n)\n```\n\n```\n+---------------------+-----+----------------+---------------------+-------------+---------+\n| Source of Variation | DOF | Sum of Squares | Mean Sum of Squares | F statistic | p value |\n+---------------------+-----+----------------+---------------------+-------------+---------+\n|      Treatments     |  2  |    450.6667    |       225.3333      |    7.0356   |  0.0145 |\n|        Error        |  9  |    288.2500    |       32.0278       |             |         |\n|        Total        |  11 |    738.9167    |                     |             |         |\n+---------------------+-----+----------------+---------------------+-------------+---------+\n```\n\n## Documentation\n\nVisit the doex [documentation][documentation].\n\n## Implementations\n\n- [Completely Randomized Design / One-Way ANOVA](https://doex.rohitsanjay.com/en/latest/examples.html#completely-randomized-design)\n- [Randomized Complete Block Design / Two-Way ANOVA](https://doex.rohitsanjay.com/en/latest/examples.html#randomized-complete-block-design)\n- [Latin Square Design](https://doex.rohitsanjay.com/en/latest/examples.html#latin-square-design)\n- [Graeco-Latin Square Design](https://doex.rohitsanjay.com/en/latest/examples.html#graeco-latin-square-design)\n- [Randomized Complete Block Design with missing values](https://doex.rohitsanjay.com/en/latest/examples.html#randomized-complete-block-design-with-missing-values)\n- Balanced Incomplete Block Design (TODO)\n- Factorial Designs (TODO)\n\n## Acknowledgements\n\n- Adapted from [https://github.com/pawanaichra/doe](https://github.com/pawanaichra/doe).\n\n[documentation]: https://doex.rohitsanjay.com/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frohitsanj%2Fdoex","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frohitsanj%2Fdoex","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frohitsanj%2Fdoex/lists"}