Re: [D-RUG]: Digest for davis-rug@googlegroups.com - 6 updates in 1 topic

[Jimmy Calanchini]

Thank you for the phenomenal feedback and advice, Davis R users!  Coursera looks like a really attractive option for me, at least to get the ball rolling. And I will keep an eye on the D-RUG list for info on bootcamps, carpentries, and other workshops…

Jimmy 

Jimmy Calanchini, ABD
UC Davis Department of Psychology
Social Cognition Lab: psychology.ucdavis.edu/labs/sherman/site
www.jimmycalanchini.com

On Wed, Jul 29, 2015 at 6:02 PM, <davi...@googlegroups.com> wrote:

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• Digest for davi...@googlegroups.com - 1 update in 1 topic - 6 Updates

Digest for davi...@googlegroups.com - 1 update in 1 topic

Jimmy Calanchini <jcala...@ucdavis.edu>: Jul 29 12:06PM -0700 Hello Davis R Users,   Long time subscriber, first time poster. I’m also a long time SPSS user who is easing into using R, but it’s going a lot slower than I’d prefer, so I’m interested in taking an R course here on campus this upcoming year. I see that STA141 is being offered in the fall. Does anybody know if the instructor allows grad students to audit? I’m in my dissertation year and have a family, so I’d prefer to not formally enroll if I don’t have to -- though I certainly intend to come to class and do the work. I emailed Duncan Temple Lang a few weeks ago to ask him about auditing but never heard back. He probably gets dozens of those kinds of emails, plus its summer.     If STA141 doesn’t work out for me for whatever reason, can anybody recommend another R course that is being offered this year? Most of the ones listed on Noam Ross’ website seem to focus on specific applications and only teach R incidentally in service of those applications, whereas I’m looking for a more general R course.     Thanks in advance for the advice! Jimmy   Jimmy Calanchini, ABD UC Davis Department of Psychology Social Cognition Lab: psychology.ucdavis.edu/labs/sherman/site www.jimmycalanchini.com

Michael Hannon <jmhannon...@gmail.com>: Jul 29 12:09PM -0700 Historically, Duncan has been very welcoming to auditors. Note that the course is fast-paced and typically not exclusively about R.   -- Mike   On Wed, Jul 29, 2015 at 12:06 PM, Jimmy Calanchini <jcala...@ucdavis.edu> wrote:

Brandon Hurr <brando...@gmail.com>: Jul 29 12:14PM -0700 Do you need an official course? There are loads online through coursera or other places.   When I was first starting out I found that buying a book, reading it and following along with the examples made the most improvements in my abilities. That and lots and lots of googling for "how do I ....?". Mike Crawley's R Book is a beast, but it has loads of examples. If you're thinking of doing plotting and using ggplot2, do not buy/use the ggplot2 book that Hadley wrote, it is terribly out of date. You can build the new one he's working on here: https://github.com/hadley/ggplot2-book or Winston Chang's book is good too.   These cheatsheets from Rstudio are really handy too: https://www.rstudio.com/resources/cheatsheets/   HTH, Brandon   On Wed, Jul 29, 2015 at 12:06 PM, Jimmy Calanchini <jcala...@ucdavis.edu> wrote:

Michael Levy <mal...@ucdavis.edu>: Jul 29 03:29PM -0400 STA141 is a great class, but it is among the highest workload classes I've taken. Like Mike said, it's not all R, but it's about 2/3 R, with the rest (last year at least) being shell, sql, and regex... very useful things to know a bit about. The non-R stuff is grouped at the end of the quarter, so if you audited you could skip that. Duncan previously has allowed auditors, but demand for this and similar classes is exploding and physical space is sometimes a problem, so that may not be the case in the future.   I will be offering a one-week R bootcamp at the end of the summer; more to come on that soon, and there are other similar offerings both on and off campus.       Michael Levy PhD Candidate Department of Environmental Science and Policy University of California, Davis mal...@ucdavis.edu *www.michaellevy.name <http://www.michaellevy.name/>*     On Wed, Jul 29, 2015 at 3:14 PM, Brandon Hurr <brando...@gmail.com> wrote:

"C. Titus Brown" <ctb...@ucdavis.edu>: Jul 29 02:10PM -0700 Hi Jimmy,   a few thoughts --   * I'll probably host another Data Carpentry or Software Carpentry sometime between now and January; keep an eye on this list, and/or join the dib-training list (dib-training.readthedocs.org/en/pub/). Software Carpentry sometime teaches R, while Data Carpentry relies much more on R but is more discipline specific.   * Berkeley runs regular workshops through BIDS, not sure what they're offering but it's not too far away if you can find something;   * the Data Science Initiative (run by Duncan) will probably be offering their own workshops (or co-hosting my things, or some mix :) in the fall;   * there are a *lot* of videos etc online; I would start here:   http://blog.revolutionanalytics.com/2013/04/coursera-data-analysis-course-videos.html   cheers, --titus   On Wed, Jul 29, 2015 at 03:29:45PM -0400, Michael Levy wrote:   -- C. Titus Brown, ctb...@ucdavis.edu

Michael Hannon <jmhannon...@gmail.com>: Jul 29 03:45PM -0700 This thread has gotten long enough that I may have just missed something important, but let me offer the following, possibly-gratuitous suggestion.   I suggest you start learning R from any of the various useful resources already mentioned in this thread and then regard this list as a "private tutor". E.g., if you get to the '*apply' family of functions in your reading and don't understand the difference between sapply and lapply, just ask this list for clarification. (Example picked more or less at random and not intended to be representative of problems faced by a given person.)   -- Mike     On Wed, Jul 29, 2015 at 12:06 PM, Jimmy Calanchini <jcala...@ucdavis.edu> wrote:

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