IDEAS home Printed from https://ideas.repec.org/a/jss/jstsof/v056i13.html
   My bibliography  Save this article

Momocs: Outline Analysis Using R

Author

Listed:
  • Bonhomme, Vincent
  • Picq, Sandrine
  • Gaucherel, Cédric
  • Claude, Julien

Abstract

We introduce here Momocs, a package intended to ease and popularize modern morphometrics with R, and particularly outline analysis, which aims to extract quantitative variables from shapes. It mostly hinges on the functions published in the book entitled Modern Morphometrics Using R by Claude (2008). From outline extraction from raw data to multivariate analysis, Momocs provides an integrated and convenient toolkit to students and researchers who are, or may become, interested in describing the shape and its variation. The methods implemented so far in Momocs are introduced through a simplistic case study that aims to test if two sets of bottles have different shapes.

Suggested Citation

  • Bonhomme, Vincent & Picq, Sandrine & Gaucherel, Cédric & Claude, Julien, 2014. "Momocs: Outline Analysis Using R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 56(i13).
    • Handle: RePEc:jss:jstsof:v:056:i13
    DOI: http://hdl.handle.net/10.18637/jss.v056.i13
    as

    Download full text from publisher

    File URL: https://www.jstatsoft.org/index.php/jss/article/view/v056i13/v56i13.pdf
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v056i13/Momocs_0.2-5.tar.gz
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v056i13/v56i13.R
    Download Restriction: no
    File URL: https://www.jstatsoft.org/index.php/jss/article/downloadSuppFile/v056i13/v56i13-images.zip
    Download Restriction: no
    File URL: https://libkey.io/http://hdl.handle.net/10.18637/jss.v056.i13?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bowman, Adrian, 2009. "Morphometrics with R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(b01).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Baku Takahara & Kazuo H Takahashi, 2015. "Genome-Wide Association Study on Male Genital Shape and Size in Drosophila melanogaster," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-13, July.
    2. Radu Iovita & Inbal Tuvi-Arad & Marie-Hélène Moncel & Jackie Despriée & Pierre Voinchet & Jean-Jacques Bahain, 2017. "High handaxe symmetry at the beginning of the European Acheulian: The data from la Noira (France) in context," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-25, May.
    3. Sabrina B Sholts & Joseph A M Gingerich & Stefan Schlager & Dennis J Stanford & Sebastian K T S Wärmländer, 2017. "Tracing social interactions in Pleistocene North America via 3D model analysis of stone tool asymmetry," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-18, July.
    4. Robyn A Grant & Luca Taraborrelli & Tom Allen, 2022. "Morphometrics for sports mechanics: Showcasing tennis racket shape diversity," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-15, January.
    5. Christopher J Mooney & Michael J Kingsford, 2016. "Statolith Morphometrics Can Discriminate among Taxa of Cubozoan Jellyfishes," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-16, May.
    6. Muriel Gros-Balthazard & Claire Newton & Sarah Ivorra & Marie-Hélène Pierre & Jean-Christophe Pintaud & Jean-Frédéric Terral, 2016. "The Domestication Syndrome in Phoenix dactylifera Seeds: Toward the Identification of Wild Date Palm Populations," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-21, March.
    7. Fabien Lafuma & Ian J. Corfe & Julien Clavel & Nicolas Di-Poï, 2021. "Multiple evolutionary origins and losses of tooth complexity in squamates," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    8. Felix Riede & Christian Hoggard & Stephen Shennan, 2019. "Reconciling material cultures in archaeology with genetic data requires robust cultural evolutionary taxonomies," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-9, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Statistics

      Access and download statistics

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jss:jstsof:v:056:i13. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: http://www.jstatsoft.org/ .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.