Design of Experiments and Analysis
This python library gives you the power to do analysis of experiments easily and quickly.
Getting Started
Prerequisites
Python 3.7
Installing
pip install doe
How to use
>>> import doe
>>> model = doe.crd("data.csv")
>>> model.print()
And you are done.
TO-DO
- Completely Randomized Design
- Randomized Complete Block Design
- Randomized Complete Block Design with missing values
- Latin Square Design
- Graeco-Latin Square Design
- Balanced Incomplete Block Design
- Factorial Designs
- Tests
License
This project is licensed under the MIT License - see the LICENSE file for details.
1 maintainer
Metadata
1 maintainer
Release files for doe 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| doe-0.1.3.tar.gz | 2.7 kB | Details |
Release files / doe-0.1.3.tar.gz
| Download URL | doe-0.1.3.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
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twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.7.1rc2
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