Anatomical landmark positions and associated vertices data in 3D homologous human meshes

These data have been used for the analysis reported in the article "Positioning errors of anatomical landmarks identified by fixed vertices in homologous meshes" (Gait & Posture 108, https://doi.org/10.1016/j.gaitpost.2023.11.024).

There are 53 CSV files with the 3D data of the anatomical landmarks (AL) that have been analyzed in the article.
* Each CSV file corresponds to a different AL.
* Each row in a file corresponds to the data of a different subject (records from the CAESAR dataset).

The columns of the files are:
1. "Subject": Subject code.
2. "Sex": "F" for female, "M" for male.
3. "Weight": Weight of the subject in kg ("missing" for missing data).
4. "Height": Height of the subject in mm ("missing" for missing data).
5-to-7. "Xlab", "Ylab", "Zlab": 3D coordinates of the labelled points (in mm).
8-to-10. "Xclos", "Yclos", "Zclos": 3D coordinates of the "closest vertices" (in mm).
11-to-13. "Xnom", "Ynom", "Znom": 3D coordinates of the (asymmetric) nominal vertices (in mm).
14-to-16. "XnomSym", "YnomSym", "ZnomSym": 3D coordinates of the (symmetric) nominal vertices (in mm).
17. "DistCV_SNV": Distance between the closest vertex and the nominal vertex (in number of edges of the mesh).
18. "Outlier": "true" for outliers in "DistCV_SNV", "false" otherwise (see explanation in the article).

The R script "dglm_regression.R" contains the step to reproduce in R the statistical analysis to assess the effect of sex, height and BMI on CV-SNV errors, as explained in the article and the supplementary material.
The folder "results" contains the table with the results of the regression analysis.