Spatial median for Euclidean data

Share:

Description

Spatial median for Euclidean data.

Usage

1
spat.med(y, tol = 1e-09)

Arguments

y

A matrix with Euclidean data, continuous variables.

tol

A tolerance level to terminate the process. This is set to 1e-09 by default.

Details

The spatial median, using a fixed point iterative algorithm, for Euclidean data is calcualted. It is a robust location estimate. This function is used by comp.den.

Value

A vector with the spatial median.

Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@yahoo.gr> and Giorgos Athineou <athineou@csd.uoc.gr>

References

Jyrki Mottonen, Klaus Nordhausen and Hannu Oja (2010). Asymptotic theory of the spatial median. In Nonparametrics and Robustness in Modern Statistical Inference and Time Series Analysis: A Festschrift in honor of Professor Jana Jureckova.

T. Karkkaminen and S. Ayramo (2005). On computation of spatial median for robust data mining. Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems, EUROGEN 2005, R. Schilling, W.Haase, J. Periaux, H. Baier, G. Bugeda (Eds) FLM, Munich. http://users.jyu.fi/~samiayr/pdf/ayramo_eurogen05.pdf

See Also

sscov, comp.den

Examples

1
2
3
library(MASS)
spat.med( as.matrix( iris[, 1:4] ) )
colMeans( iris[, 1:4] )

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.