Data from: When less is more and more is less: the impact of sampling effort on species delineation
Data files
Apr 19, 2022 version files 385.14 KB
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data_for_MFA.csv
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Guenser_et_al._When_less_is_more_and_more_is_less_R_code.txt
Abstract
Methods
Please refer to the Material and Methods part of the publication Guenser et al. "When less is more and more is less: the impact of sampling effort on species delineation"
Usage notes
R code (Guenser et al. When less is more and more is less_R code.txt)
Just copy/paste the content of the file on R.
This file contains the code used for :
- the Multi-Factorial Analysis
- the Broken-Stick Model
- the estimation of error measurement (supplementary figure FIG-S6 alongside the publication)
- the clustering
- the sub-sampling protocole (random and systematist-like)
- the evolution of the number of cluster related to sampling effort
Dataset (data_for_MFA.csv)
These are the variables used for the Multi-Factorial Analysis. Please refer to the Material and Methods part of the publication Guenser et al. "When less is more and more is less: the impact of sampling effort on species delineation" for detail of the acquisition of these data.
Column 1 is the taxonomy of the specimens.
Column 2 is the Height/Length ratio.
Column 3 is the Mean/Standart deviation ratio from the angle measurement.
Column 4 is the Skewness/Kurtosis ratio from the angle measurement.
Columns 5 to 7 are the discrete characters.
Columns 8 to 67 are the aligned coordinates after Generalised Procruste superimposition for 2D Geometric Morphometrics.
Columns 68 to 142 are the aligned coordinates after Generalised Procruste superimposition for 3D Geometric Morphometrics (see Berio and Bayles 2020 for 3D processes).