On Apr 6, 2005, at 1:48 AM, Martin Maechler wrote:
Median filtering aka "running medians" has one distinctive advantage {over smooth.spline() or other so called linear smoothers}: It is "robust" i.e. not distorted by gross outliers. Running medians is implemented in runmed() {standard "stats" package} in a particularly optimized way rather than using the more general running(.) approach of package 'gtools'.
Median smoothing splines are also implemented in the quantreg package see ?rqss, but they produce piecewise linear fitting so they may not appeal to those accustomed to french curves.
url: www.econ.uiuc.edu/~roger Roger Koenker email [EMAIL PROTECTED] Department of Economics vox: 217-333-4558 University of Illinois fax: 217-244-6678 Champaign, IL 61820
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