Oh Crap! I mistakenly replied onlist. PLEASE IGNORE -- these are only my ignorant opinions.
-- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Wed, Nov 29, 2017 at 8:48 AM, Bert Gunter <bgunter.4...@gmail.com> wrote: > I don't think my view is of interest to many, so offlist. > > I reject this: > > " I would consider data analysis work to be three stages: data preparation, > statistical analysis, and producing the report." > > For example, there is no such thing as "outliers" -- data to be removed as > part of cleaning/preparation -- without a statistical model to be an > "outlier" **from**, which is part of the statistical analysis. And the > structure of the data (data preparation) may need to change depending on > the course of the analysis (including graphics, also part of the analysis). > So I think your view reflects a naïve view of the nature of data analysis, > which is an iterative and holistic process. I suspect your training is as a > computer scientist and you have not done much 1-1 consulting with > researchers, though you should certainly feel free to reject this canard. > Building software for large scale automated analysis of data required a > much different analytical paradigm than the statistical consulting model, > which is largely my background. > > No reply necessary. Just my opinion, which you are of course free to trash. > > Cheers, > Bert > > > > Bert Gunter > > "The trouble with having an open mind is that people keep coming along and > sticking things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > On Wed, Nov 29, 2017 at 8:37 AM, Robert Wilkins <iwriteco...@gmail.com> > wrote: > >> R has a very wide audience, clinical research, astronomy, psychology, and >> so on and so on. >> I would consider data analysis work to be three stages: data preparation, >> statistical analysis, and producing the report. >> This regards the process of getting the data ready for analysis and >> reporting, sometimes called "data cleaning" or "data munging" or "data >> wrangling". >> >> So as regards tools for data preparation, speaking to the highly diverse >> audience mentioned, here is my question: >> >> What do you want? >> Or are you already quite happy with the range of tools that is currently >> before you? >> >> [BTW, I posed the same question last week to the r-devel list, and was >> advised that r-help might be a more suitable audience by one of the >> moderators.] >> >> Robert Wilkins >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posti >> ng-guide.html >> and provide commented, minimal, self-contained, reproducible code. >> > > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
