This is a story about statistics, experiments and tests.

Utility functions for the ADAS course. It also contains a number of functions for Design of Experiments (DoE) factorial plans

R package of comprehensive tools for designing and analyzing choice-based conjoint (cbc) experiments

Formula parser and evaluator for Wilkinson Notation and dataframes arithmetics

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.

ChemDesign: DWSIM Experiment Toolkit

📊 STAT 454/545: Analysis of Variance and Experimental Design.

A tool for the analysis of datasets obtained by performing experiments according to a Design of Experiments (DoE) approach.

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 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.

A/B Testing from Scratch

Curated list of resources for the Design of Experiments (DOE)

Shiny app for our catalog of four-and-two-level designs

Easy DOE

Optimization framework library fully written in C++

Examine student health reports to gain insights into the locations of SBHCs

A Design of Experiment (DoE) / excitation signal design technique for the identification of nonlinear dynamic systems.

Design of Experiment Generator. Read the docs at: https://doepy.readthedocs.io/en/latest/

This MultiDOE toolbox regroups many existing tools for generating sample points using many specific DOE techniques.