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

Julien Claude

molars function

A <a rd-options="" href="/link/Out?package=Momocs&version=1.1.6" 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

Data: Outline coordinates of 360 molars — molars

A <a rd-options='' href='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).

molars: Data: Outline coordinates of 360 molars

Description

Arguments

Format

See Also