• Momocs is an R package intended to ease and to popularize morphometrics, the quantitative analysis of form.
• It aims at gathering the most common approaches: traditional morphometrics, global descriptors, open outlines, closed outlines and configuration of landmarks into the same, open-source, environment.
• And using the same, simple and easy-to-learn, open-source, and extendable grammar both for the user and programmers.
• Momocs hinges on the core functions developed in the book Morphometrics with R by Julien Claude (2008), wraps them into the same coding grammar, and extends them both graphically and statistically.

Note: Momocs is being extensively rewritten (from v0.2 available on CRAN and published in Journal of Statistical Software to the version v0.9 available only on GitHub so far. I plan a releaase of the version v0.9 before July 2014 and a release of v1.0 which will include all the features marked with an asterisk (*) below, before September, 2014.

• Data acquisition

• Outline extraction

• Landmark definition on outlines

• Import from .nts, .tps, PAST, .txt, .xls, .csv

• Outline analysis

• Elliptical Fourier analysis

• Radius Variation Fourier analysis

• Tangent Angle Fourier analysis

• Eigen shape analysis*

• Calibration (shape reconstruction, deviation, harmonic power, etc.)

• Open-outlines

• Natural (raw) polynomials

• Orthogonal (Legendre) polynomials

• Discrete Cosinus Transform*

• Same calibration methods as above

• Configuration of landmarks

• Full Generalized Procrustes Adjustment

• Resistant Fit Procrustes Adjustments*

• Sliding semi-landmarks*

• Traditional morphometrics and global shape descriptors

• Some built-in facilities for multivariate analysis

• A long list of shape scalars (eg. eccentricity, rectilinearity, etc.)

• Multivariate analysis

• Mean shape (groupwise) calculations

• Principal component analysis (with morphospace)

• Multivariate analysis of variance

• Linear discriminant analysis (with morphospace)

• Hierarchical clustering

• Regression trees*

• K-means*

• Multidimensional scaling*

• Allometry / modularity testing*

• Graphical methods

• Morphospaces for all morphometrics methods (and for combined views*) x PCA, LDA

• Thin plate splines and deformation grids

• Family pictures and quick inspection of whole datasets

• Many other morphometrics plots

From R:

  install.packages("Momocs")
  library(Momocs)

For the very last version:

  library(devtools)
  install_github(c("vbonhomme/Momocs", "vbonhomme"))
  library(Momocs)

You are welcome to:

• test Momocs and send me your feedback
• submit suggestions and bug-reports
• ask for hotline
• collaborate with me
• just send an email to: [email protected]

• A graphical introduction to Momocs which will aim to be a complete guide to morphometrics using Momocs even if you never heard of R or what (x; y) coordinates may be.
• Blog posts, ref card, FAQ, to come.