I have distribution that are gaussian to a good approximation. I fit a
gaussian to these distributons. Once in a while there is an outlier. Could
someone suggest a robust method (R package already?) that removes those
outliers and redoes the gaussian fit to get a better fit? Thanks.

        [[alternative HTML version deleted]]

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to