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The basic component of studying modularity and integration is identifying packages of intercorrelated traits that behave independently of other such packages. This package performs a simple analysis of modularity on geometric morphometric landmark data. This package accompanies the review by Goswami and Polly (2010). Users are referred to that p…

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Modularity-for-Mathematica

The basic component of studying modularity and integration is identifying packages of intercorrelated traits that behave independently of other such packages, whether through ontogeny, across individuals within a population, or during the course of evolution. This package performs a simple analysis of modularity on geometric morphometric landmark data. This package accompanies the review by Goswami and Polly (2010). Users are referred to that paper for a discussion of the methods embedded in this package, including their strengths and weaknesses, and for elaboration of other methods that address broader problems.

Installing the Modularity for Mathematica package

  1. Download the latest release, which is in Mathematica's .m format
  2. Open the file in Mathematica
  3. Under the File menu, choose “Install”
  4. Under Type of Item choose “Package”, under source choose the file you just saved, under Install Name enter “Modularity”.
  5. Once installed, enter the command “<

Updates in 2.0 This package was updated 7 April 2018 to fix inconsistencies with the latest versions of Mathematica. No substantial changes were made to functions. Updates include changing Agglomerate[] to DirectAgglomerate[] for functions that calculate dendrograms from correlation matrices and no longer loading the Multivariate Statistics package to use the PrincipalComponents[] function.

User's Guide: Modularity for Mathematica Users Guide 2.0.pdf

Cite as: Polly, P.D. and A. Goswami. 2010. Modularity for Mathematica. v.2.0. https://github.com/pdpolly/Modularity-for-Mathematica/

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The basic component of studying modularity and integration is identifying packages of intercorrelated traits that behave independently of other such packages. This package performs a simple analysis of modularity on geometric morphometric landmark data. This package accompanies the review by Goswami and Polly (2010). Users are referred to that p…

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