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Contents:

  • Introduction
  • Example notebooks
    • Example script for Python interface to Orthogonal Array package
    • Example arrays
    • Example to write and read files with arrays from disk
    • Enumerate orthogonal arrays
    • Generate orthogonal arrays with high D-efficiency
    • Generate D-efficient designs
    • Example script to use Nauty from Python
    • Analyse isomorphisms of a set of orthogonal arrays with N=56
    • Generation and analysis of conference designs
    • Example code for delete-one-factor projections
    • Minimal number of runs for an orthognal array
    • Example of GWLP calculation for mixed-level designs
    • Calculate a Pareto optimal set
    • Isomorphism reduction for conference designs
  • Data representation
  • Generation of designs
  • Normal form of arrays
  • Properties of designs
  • C++ library
  • References
oapackage
  • Example notebooks
  • Edit on GitHub

Example notebooks

This section contains several examples for generating, manipulating and analyzing arrays and designs using the Orthogonal Arrays package. The examples are shown using Jupyter notebooks, which can be found on github https://github.com/eendebakpt/oapackage/tree/master/docs/examples.

List of example notebooks

  • Example script for Python interface to Orthogonal Array package
  • Example arrays
  • Example to write and read files with arrays from disk
  • Enumerate orthogonal arrays
  • Generate orthogonal arrays with high D-efficiency
  • Generate D-efficient designs
  • Example script to use Nauty from Python
  • Analyse isomorphisms of a set of orthogonal arrays with N=56
  • Generation and analysis of conference designs
  • Example code for delete-one-factor projections
  • Minimal number of runs for an orthognal array
  • Example of GWLP calculation for mixed-level designs
  • Calculate a Pareto optimal set
  • Isomorphism reduction for conference designs
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© Copyright 2018, Pieter Eendebak, Alan Vazquez. Revision a5607b9e.

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