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: Emanuel Berg Newsgroups: comp.lang.ada Subject: Re: how to analyze clock drift Date: Wed, 19 Nov 2014 23:15:49 +0100 Organization: Aioe.org NNTP Server Message-ID: <87fvdeet0q.fsf@debian.uxu> References: <87bno4gnuz.fsf@debian.uxu> <87k32s3ppt.fsf@debian.uxu> <87sihf32kr.fsf@adaheads.sparre-andersen.dk> NNTP-Posting-Host: feB02bRejf23rfBm51Mt7Q.user.speranza.aioe.org Mime-Version: 1.0 Content-Type: text/plain X-Complaints-To: abuse@aioe.org User-Agent: Gnus/5.13 (Gnus v5.13) Emacs/24.4 (gnu/linux) X-Notice: Filtered by postfilter v. 0.8.2 Cancel-Lock: sha1:1TUtnSY+PAhJY7J4wXOuH8UEEeQ= Mail-Copies-To: never Xref: news.eternal-september.org comp.lang.ada:23558 Date: 2014-11-19T23:15:49+01:00 List-Id: Jacob Sparre Andersen writes: > Try to subtract a linear fit and plot the result. > There may be a short-term systematic pattern, but > over longer time, it looks like you have a slowly, > randomly drifting function. You mean, I should make a figure (graph) and then learn from it by inspecting it? By "subtract a linear fit", do you mean I should broadly visualize this as a linear function by some smoothing-out filter even though the data of course isn't a straight line? -- underground experts united