Python library for conducting design of experiments
Project description
doex - Design of Experiments
Python library for conducting design of experiments
Installation
pip install doex
Sample usage
import doex
exp = doex.OneWayANOVA(
[24, 28, 37, 30], # Treatment 1
[37, 44, 31, 35], # Treatment 2
[42, 47, 52, 38], # Treatment 3
)
exp.display()
Output of above snippet:
+--------------------------+-----+----------------+---------------------+-------------+---------+
| Source of Variation | DOF | Sum of Squares | Mean Sum of Squares | F statistic | p value |
+--------------------------+-----+----------------+---------------------+-------------+---------+
| Between treatment groups | 2 | 450.6667 | 225.3333 | 7.0356 | 0.0145 |
| Within groups (error) | 9 | 288.2500 | 32.0278 | | |
| Total | 11 | 738.9167 | | | |
+--------------------------+-----+----------------+---------------------+-------------+---------+
Documentation
Visit the doex documentation.
Implementations
- One-way ANOVA
- Two-way ANOVA
- 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
References
- Adapted from https://github.com/pawanaichra/doe.
Project details
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