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.
Curated list of resources for the Design of Experiments (DOE)
A python package for optimizing processing pipelines using statistical design of experiments (DoE).
Minitab — statistical analysis for quality improvement, DOE, control charts and Six Sigma projects.
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.
ChemDesign: DWSIM Experiment Toolkit
Formula parser and evaluator for Wilkinson Notation and dataframes arithmetics
Optimization framework library fully written in C++
Design, analyze, and optimize screening experiments with DoE, statistics, and Bayesian Optimization
8 hands-on Certified Lean Six Sigma Black Belt labs covering DMAIC, project charter, VOC, SIPOC, MSA, capability, hypothesis testing, regression, DOE, FMEA, SPC, control plans, benefits realization, and exam review.
This is a story about statistics, experiments and tests.
MATLAB app that can plot the design space and results of a experiment in up to five dimensions (x, y, z, colour and dot size).
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