molars


Courtesy of Julien Corny and Florent Detroit.


A complete toolkit for morphometrics, from data extraction to multivariate analyses.
Most common 2D morphometrics approaches are included:
outlines, open outlines, configurations of landmarks, traditional morphometrics,
and facilities for data preparation, manipulation and visualization
with a consistent grammar throughout.
Momocs allows reproducible, complex morphometric analyses,
paves the way for a pure open-source workflow in R,
and other morphometrics approaches should be easy to plug in,
or develop from, on top of this canvas.

Vincent Bonhomme

Momocs

Morphometrics using R

molars function

A <a rd-options="" href="/link/Out?package=Momocs&version=1.0.0" data-mini-rdoc="Momocs::Out">Out</a> object containing 79 equilinearly spaced (x; y)
coordinates for 360 crown outlines, of modern human molars,
along with their type (<code>$type</code>) - 90 first upper molars (UM1), 90 second upper molars (UM2),
90 first lower molars (LM1), 90 second lower molars (LM2) -
and the individual (<code>ind</code>) they come from (the data of the 360 molars are taken
from 180 individuals).

Format

Corny, J., & Detroit, F. (2014). Technical Note: Anatomic
identification of isolated modern human molars: testing Procrustes aligned
outlines as a standardization procedure for elliptic fourier analysis.
<em>American Journal of Physical Anthropology</em>, 153(2), 314-22. doi:10.1002/ajpa.22428
<a href="http://onlinelibrary.wiley.com/doi/10.1002/ajpa.22428/abstract">http://onlinelibrary.wiley.com/doi/10.1002/ajpa.22428/abstract</a>

molars: Data: Outline coordinates of 360 molars

Description

Arguments

Format

Source

See Also