k-pratyush / doex

Python library for Design of Experiments

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.