On Thu, May 05, 2016 at 12:56:51PM +0000, Waldman, Simon wrote:
> > -----Original Message-----
> > From: Discuss [mailto:[email protected]] On
> > Behalf Of Timothy Rice
> > Sent: 05 May 2016 13:27
> > To: GRANT Alistair <[email protected]>
> > Cc: [email protected]; Dirk Eddelbuettel
> > <[email protected]>
> > Subject: Re: [Discuss] Word and PowerPoint "all wrong"?
> 
> 
> > The fact of the matter is, Excel has been demonstrated time and again to be
> > not just inefficient for scientific analysis but usually out-and-out wrong.
> 
> [citation needed]

Here's one that has had a reasonably significant impact on biology:

http://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-5-80

If you're interested in transitioning people into more powerful exploration of
spreadsheet-like data, the Data Carpentry Ecology Workshop has a very nice
yellow brick road for you to lead people down --

http://www.datacarpentry.org/lessons/#ecology-workshop

They start with how to use Excel better, then transition to OpenRefine
(which blows my mind, at least), and then move into SQL, R, or Python,
depending on the audience level and interests.  I think there's a nice
natural progression there that fits audiences who are unsure of exactly
why R might be a powerful tool for them to learn.

best,
--titus

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