From mboxrd@z Thu Jan  1 00:00:00 1970
X-Spam-Checker-Version: SpamAssassin 3.4.4 (2020-01-24) on polar.synack.me
X-Spam-Level: 
X-Spam-Status: No, score=-1.9 required=5.0 tests=BAYES_00
	autolearn=unavailable autolearn_force=no version=3.4.4
Path: 
 eternal-september.org!reader01.eternal-september.org!reader02.eternal-september.org!news.eternal-september.org!mx02.eternal-september.org!feeder.eternal-september.org!aioe.org!.POSTED!not-for-mail
From: tmoran@acm.org
Newsgroups: comp.lang.ada
Subject: Re: how to analyze clock drift
Date: Wed, 19 Nov 2014 02:44:18 +0000 (UTC)
Organization: Aioe.org NNTP Server
Message-ID: <m4h061$oct$1@speranza.aioe.org>
References: <6uun6alsp3jh1pob6g9qgcg85etqgenmd0@4ax.com>
NNTP-Posting-Host: ru/enNNyVkms/PPjid3aKA.user.speranza.aioe.org
X-Complaints-To: abuse@aioe.org
X-Notice: Filtered by postfilter v. 0.8.2
X-Newsreader: Tom's custom newsreader
Xref: news.eternal-september.org comp.lang.ada:23536
Date: 2014-11-19T02:44:18+00:00
List-Id: <comp.lang.ada>

>>Anyone knows how I can apply some math/stat method to
>>find out the average drift, and/or if the drift will
>>average out, or just about any conclusions you can get
>>out of the material?
>>
>
>    Feed the data to "R" and play around with various commands?

To quote Richard Hamming "The purpose of computing is insight, not
numbers".  What is it that you want to know here?  How do you hope
to make use of what you learn?