From mboxrd@z Thu Jan 1 00:00:00 1970 From: John Hendy Subject: Coursera class on reproducible research Date: Fri, 14 Nov 2014 18:21:18 -0600 Message-ID: Mime-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Return-path: Received: from eggs.gnu.org ([2001:4830:134:3::10]:42117) by lists.gnu.org with esmtp (Exim 4.71) (envelope-from ) id 1XpR7B-0004P0-HA for emacs-orgmode@gnu.org; Fri, 14 Nov 2014 19:21:22 -0500 Received: from Debian-exim by eggs.gnu.org with spam-scanned (Exim 4.71) (envelope-from ) id 1XpR7A-0003tf-GY for emacs-orgmode@gnu.org; Fri, 14 Nov 2014 19:21:21 -0500 Received: from mail-lb0-x22b.google.com ([2a00:1450:4010:c04::22b]:55881) by eggs.gnu.org with esmtp (Exim 4.71) (envelope-from ) id 1XpR7A-0003rT-6Z for emacs-orgmode@gnu.org; Fri, 14 Nov 2014 19:21:20 -0500 Received: by mail-lb0-f171.google.com with SMTP id b6so13538249lbj.2 for ; Fri, 14 Nov 2014 16:21:18 -0800 (PST) List-Id: "General discussions about Org-mode." List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Errors-To: emacs-orgmode-bounces+geo-emacs-orgmode=m.gmane.org@gnu.org Sender: emacs-orgmode-bounces+geo-emacs-orgmode=m.gmane.org@gnu.org To: emacs-orgmode Thought this might interest the list: - https://www.coursera.org/course/repdata I've taken other Johns Hopkins classes on Data Analysis from Rober Peng and Jeff Leek and found them to be pretty good. They'll be using R, and I'm going to guess they'll be teaching this withing the context of RStudio, though I could be wrong. I obviously use Org, however I plan on at least skimming the lectures for principles/best-practices, as I think they may help in my own efforts to use Org for reproducible research. I guess technically I'm not really publishing anything other than in my company, so oftentimes I'm simply trying to make my reports/analyses reproducible for *my future self*! In any case, just wanted to pass it along as I know there are others who implement these principles in their work on the ML. Best regards, John