rdela(data, N, rew=TRUE)(n+d+1)/2.
(n+d+1)/2.(n+d+1)/2.(n+d+1)/2.delaunayn function within the geometry-package. The results are subsequently used to determine a robust subsample.
Liebscher, S., Kirschstein, T., and Becker, C. (2013): RDELA - A Delaunay-Triangulation-based, Location and Covariance Estimator with High Breakdown Point, Statistics and Computing, DOI: 10.1007/s11222-012-9337-5.