Euclidean Distance Matrix Analysis in R

A coordinate-free approach for comparing biological shapes using landmark data based on Lele and Richtsmeier (1991) <doi:10.1002/ajpa.1330860307>.

Details

EDMA data: read_xyz

Nonparametric fit: edma_fit

Form difference: edma_fdm

Growth and growth difference: edma_gm, edma_gdm

Shape difference: edma_sdm

Author

NA

Maintainer: NA

References

Lele, S. R., 1991. Some comments on coordinate-free and scale-invariant methods in morphometrics. American Journal of Physical Anthropology 85:407--417. <doi:10.1002/ajpa.1330850405>

Lele, S. R., and Richtsmeier, J. T., 1991. Euclidean distance matrix analysis: A coordinate-free approach for comparing biological shapes using landmark data. American Journal of Physical Anthropology 86(3):415--27. <doi:10.1002/ajpa.1330860307>

Lele, S. R., and Richtsmeier, J. T., 1992. On comparing biological shapes: detection of influential landmarks. American Journal of Physical Anthropology 87:49--65. <doi:10.1002/ajpa.1330870106>

Lele, S. R., and Richtsmeier, J. T., 1995. Euclidean distance matrix analysis: confidence intervals for form and growth differences. American Journal of Physical Anthropology 98:73--86. <doi:10.1002/ajpa.1330980107>

Hu, L., 2007. Euclidean Distance Matrix Analysis of Landmarks Data: Estimation of Variance. Thesis, Master of Science in Statistics, Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada. Pp. 49.

Lele, S. R., and Cole, T. M. III., 1996. A new test for shape differences when variance-covariance matrices are unequal. Journal of Human Evolution 31:193--212. <doi:10.1006/jhev.1996.0057>