Journal of Statistical Software· 2014Q1
<b>Momocs</b>: Outline Analysis Using<i>R</i>
- 605citations
- Q1SCImago
- 2014year
Short summary
The Momocs R package provides an integrated toolkit for modern morphometrics, specifically outline analysis, to extract quantitative shape variables from raw data to multivariate analysis.
AI-generated from the title and abstract; the full text is not read.
Key points
- Momocs is an R package designed for modern morphometrics, particularly outline analysis.
- It provides an integrated toolkit for extracting quantitative variables from shapes.
- The package covers the entire workflow from raw data outline extraction to multivariate analysis.
- It aims to ease and popularize modern morphometrics for students and researchers.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Journal of Statistical Software, 2014 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Geometry and Topology
Geometry and TopologyMathematics