Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/
FielDHub is an R Shiny design of experiments (DOE) app that aids in the creation of traditional, unreplicated, augmented and partially replicated (p-rep) designs applied to agriculture, plant breeding, forestry, animal and biological sciences.
R package of comprehensive tools for designing and analyzing choice-based conjoint (cbc) experiments
Design of Experiments and Analysis
This MultiDOE toolbox regroups many existing tools for generating sample points using many specific DOE techniques.
Collection of tools for evaluating the potential extent of subsurface injection operation impact
ChemDesign: DWSIM Experiment Toolkit
Curated list of resources for the Design of Experiments (DOE)
A python package for optimizing processing pipelines using statistical design of experiments (DoE).
This code will run the analysis for a 2k Factorial design of experiments test with 1 to 26 variable parameters of interest.
A tool for the analysis of datasets obtained by performing experiments according to a Design of Experiments (DoE) approach.
Project developed during a MaratonaDev 3.0 - Rocketseat
This Design of Experiments (DOE) study for SCM 517 optimizes a Lego race car’s performance by analyzing the impact of tire size, windscreen size, axle length, and car slant. Using Minitab, factorial design, and statistical analysis, the project identifies the optimal configuration for maximizing travel distance.
A library for designed experiment
automizes your doe simulations or experiments
A Designed Experiment to Optimize LEGO Race Car Performance by analyzing key factors like wheelbase, tires, and weight distribution. Includes detailed DOE analysis, cost-effectiveness insights, and visualizations for maximizing distance on a ramp.
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