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Message-ID: <CACk-te1eM04Kt9XXAhQh-rt27GTJz7itmcJ9M6i1TmQNTtmWcQ@mail.gmail.com>
Date: 2012-10-31T23:14:10Z
From: Bert Gunter
Subject: gauss fit with outlier removal
In-Reply-To: <CADaDLqH7VoJVDEhbQPrQ90qT7+XG6c40kXvO+Nzg7OR1E3ti8A@mail.gmail.com>

See the CRAN "Robust" Task View (for better ways of doing what you want).

-- Bert

On Wed, Oct 31, 2012 at 2:26 PM, Dieter Best <dieterbest at gmail.com> wrote:
> 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]]
>
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> and provide commented, minimal, self-contained, reproducible code.



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

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