Here is the latest bag of tweets^*, which covers October 2012.

(*) These are interesting news that I found on Twitter and that I archive periodically.

• adolfoalvarez: Datasets inside packages in R: http://t.co/mNJ1nlqm (via @isDotR ) (27 Oct)
• Atabey_Kaygun: Call for Papers: PLoS Text Mining Collection http://t.co/BpzZ5H2s via @prismatic (27 Oct)
• eagereyes: New on eagereyes: VisWeek 2012 Digest, Part 1 http://t.co/3qiCqarB (26 Oct)
• jangeissler: Thank you Paul! RT @PaulLikeMe: Fantastic talk on patients by Jan Geissler, slides here http://t.co/h4mUUxF0 #ISOQOL12 cc/ @eupatients (26 Oct)
• tonicebrian: Mastering Linear Algebra in 10 Days: Astounding Experiments in Ultra-Learning http://t.co/4WtmEPw9 vía @sharethis (26 Oct)
• FGRibreau: node-rtf - An RTF document creation library for node http://t.co/Rk8eHyaO (26 Oct) $ cyberlabe: Best paper award at InfoVis 2012: How Capacity Limits of Attention Influence Information Visualization Effectiveness http://t.co/BHj5u5lp (26 Oct)
• MTaege: Genes, depression and life satisfaction http://t.co/qd4CGzYY via @medical_xpress @rkeuper @blicklog @msgbi @teraeuro (26 Oct)
• stefanjudis: Hidden features of #HTML - Really informative Stack Overflow discussion. #useful http://t.co/o2Cq0Wdk (26 Oct)
• planetclojure: ClojureScript Adventures http://t.co/3Ia0pTrD (26 Oct)
• jakevdp: A matplotlib tutorial auto-generated in sphinx from #ipython notebooks: http://t.co/UNdRRrql More on how I did it when I find a free moment! (26 Oct)
• vsbuffalo: “The future of Markdown” http://t.co/alycSJIx something I’ve wondered about. (26 Oct)
• xamat: MapReduce Patterns, Algorithms, and Use Cases http://t.co/6Nin6joM (26 Oct)
• mathematicsprof: An online course/book on game theory complete with lesson plan and problems/solutions -> http://t.co/M32Y7Zkd (26 Oct)
• arnicas: These are awesome! Love the corkscrew! RT @syntagmatic: Economic visualization examples with #d3js http://t.co/fhZV4xts (25 Oct)
• puffnfresh: Everyone read the Typed Clojure paper. Extremely interesting: http://t.co/Ti0OMrcX (25 Oct)
• irr: Stupid lambda tricks http://t.co/MFBc7r3H (25 Oct)
• jondot: awesome #D3.js presentation http://t.co/2n2GY6n5 (25 Oct)
• mwardle: What is risk? <- this BMJ series on statistics is essential reading. http://t.co/zC1Ghzoz (24 Oct)
• ramnath_vaidya: A slide deck based on the lasted dev branch of slidify. <http://t.co/QnIZtKPy. Here is the source Rmd http://t.co/yodDC9vV #rstats #slidify (24 Oct)
• maxogden: scraping and parsing HTML with @nodejs, a tutorial http://t.co/IB9WNC6c (24 Oct)
• cyrillerossant: Introducing #Galry, a high-performance interactive #datavisualization #Python package http://t.co/H1OvUrDg #ipython #opengl #qt #hpc #gpu (24 Oct)
• mja: RStan + mclapply = WIN https://t.co/9GJcN7sJ #rstats (24 Oct)
• Biff_Bruise: “@DataRemixed Interactive Visualizations or Small Multiples? Which do you prefer: http://t.co/ttTK5hkt” the latter helps refine the former (23 Oct)
• jjgibaja: Computer Intensive Statistics http://t.co/38gCNtyu (vía @Piboonrungroj ) /CC: @gilbellosta (23 Oct)
• ptaoussanis: Redis 2.6.0 stable has been released: http://t.co/cQN7jGt3 Lots of great new stuff incl. Lua scripting. Release notes: http://t.co/lBz6epcL (23 Oct)
• lemire: Visual Analytics for the Big Data Era – A Comparative Review of State-of-the-Art Commercial Systems http://t.co/2Zi3SXJx /cc @CurtMonash (23 Oct)
• fperez_org: Nice new blog post about IPython and the notebook, from the fine folks at the Software Sustainability Institute: http://t.co/YFujNHSY (23 Oct)
• moorejh: Variance in findings from pharmacogenetics studies conducted to date may be due to #epistasis http://t.co/mtfQM9uJ #genetics #genomics (22 Oct)
• albertocairo: Gotta make time today to explore this: “Whisper: Tracing the Propagation of Twitter Messages” http://t.co/4ihtUy3Y #dataviz #infographics (22 Oct)
• vnfrombucharest: hub · the command-line wrapper for git http://t.co/95BB8kH2 via @prismatic (22 Oct)
• jedisct1: RT @garnaat: An interesting JSON command line utility, kind of like see or awk for JSON data. Useful. http://t.co/MWxhFEe9 (22 Oct)
• reichlab: Terrifying NYer article. Must-read for PH and ID researchers: “Exploring the Human Microbiome”. http://t.co/goTqaIMu via @NewYorker (21 Oct)
• stillpedant: Terminal Emulator in Emacs (256 color, Shell integration, Multiplexer) / “tarao/term-plus-el · GitHub” http://t.co/1emsQCVz (20 Oct)
• bioinformatics: Chapter 5 ‘Multimodel Inference’ from ‘Model based inference in the life sciences’ changed how I think about modelling. (19 Oct)
• jcukier: Visual Strategies: A Practical Guide to Graphics for Scientists and Engineers http://t.co/ZsLMYA6z #visweek capstone (19 Oct)
• albertocairo: A true gem: Ole Munk’s 1992 #infographics and news #visualization book “Reporter or Artist”, free (in PDF): http://t.co/qEd5IPZF … (19 Oct)
• stuartsierra: ClojureScript on Rails Asset Pipeline http://t.co/mgcEkQJh (19 Oct)
• igrigorik: 101 things you didn’t know Ruby could do: http://t.co/bpxtbm1n - lots of awesome tips by @jeg2 (19 Oct)
• emacs_knight: Projectile tip - pressing “C-c p e” would show you a list of recently visited files in your current project https://t.co/ymWeUofJ #emacs (19 Oct)
• doryokujin: patsy - Describing statistical models in Python — patsy 0.1.0+dev documentation http://t.co/LOyQcISu (19 Oct)
• vsbuffalo: This is old, but a really, really nice article: “Python and the Principle of Least Astonishment” http://t.co/lWMpXPzQ (18 Oct)
• biocs: How to make sure nobody will ever find your database on Google: call it “IPAD” http://t.co/JIga8Bya (17 Oct)
• sharon000: European startup offers quick creation of #dataviz charts & graphs for the Web http://t.co/iTXoDOOh #datavis #ddj (17 Oct)
• mtnygard: Introducing Word Magic, a fun project that @thinkrelevance cooked up: http://t.co/5f11t8ok http://t.co/5UjK1RmT (16 Oct)
• rstudioapp: RStudio v0.97 preview release (package development and lots more): http://t.co/RxM9BPTq #rstats (16 Oct)
• larry_parnell: SO: Molecular pathological epidemiology, see papers http://t.co/RTKy0SxD Ogino et al J Clin Oncol 2008 w FASN x BMI (16 Oct)
• HarlanH: RT @BDataScientist: MATLAB, R, and Julia: Languages for data analysis http://t.co/s0Cp2nGd #Rstats #Matlab #JuliaLang #DataScience (16 Oct)
• doryokujin: Web mining module for Python clips/pattern https://t.co/j9L3uIyN (16 Oct)
• newsycombinator: Why becoming a data scientist is Not easier than you think http://t.co/VPLXnlFF (16 Oct)
• SoloGen: Some quantitative evidence that theory matters (in Statistics) http://t.co/DgpvWSU5 (16 Oct)
• DrDavidHealy: Patients recover today who would have recovered anyway unmedicated and yet clinicians give all credit to their drugs http://t.co/wkRjgYEV (16 Oct)
• trished: Comparison of treatment effects between animal experiments and clinical trials: systematic review #BMJ http://t.co/DhgqbCOp #NIHMiM12 (16 Oct)
• headius: Blog post: “So You Want To Optimize Ruby” http://t.co/USgE7fyW (15 Oct)
• vnfrombucharest: Despite “algorithms and data structures” being boring, this is something that I think I’d enjoy working through: http://t.co/vlEpXoZv (15 Oct)
• neilfws: Using consistent R and LaTeX fonts … http://t.co/LMvZGTGl (15 Oct)
• DrBunsen: A nice summary of the PageRank algorithm from the American Mathematics society: http://t.co/1051FCGC (15 Oct)
• FGRibreau: JSON 3 - Drop-in replacement for JSON 2 that provides date/primitive wrapper serialization http://t.co/TszyCCLd (15 Oct)
• planetclojure: Clojure documentation project progress report: the week of October 14th http://t.co/wV5m4spo (15 Oct)
• Viral_B_Shah: A preliminary #julialang IDE from the Forio team and some really fun tutorials. http://t.co/drJ0MDBP (15 Oct)
• mfiguiere: Hacker’s Delight, 2nd Edition has been Published. Some new Algorithms and Programming Hacks have been added. http://t.co/BZFfqClj (15 Oct)
• inningPalmer: RT @anthonynystrom: Open Data Structures An open content textbook http://t.co/kIdYbxbk (15 Oct)
• Rbloggers: Fixing non positive definite correlation matrices using R: (This article was first published on a mod… http://t.co/lxdwTqD1 #rstats (15 Oct)
• albertocairo: Another #infographics and #dataviz blog for my RSS reader (it’s the 105th!): Data Garden Blog http://t.co/4RLJNE7W FF @dataGRDN (14 Oct)
• alexbowe: Exotic Data Structures - http://t.co/HPPjrieu (14 Oct)
• Atabey_Kaygun: Software is mathematics: http://t.co/hgEJlGK0 (14 Oct)
• ptaoussanis: Stanford talk: Analogy as the core of cognition - Douglas Hofstadter, http://t.co/jhLgkTaF (14 Oct)
• moebio: this is extremely good http://t.co/vqD79Owa (14 Oct)
• planetclojure: Getting started with Clojurescript http://t.co/K5fupWq6 (14 Oct)
• jergason: A Gentle Introduction To Learning Calculus http://t.co/sNeJOwfN via @prismatic (13 Oct)
• recology_: Not happy with seqinr::write.fasta or Biostrings::write.XStringSet for writing fasta files in #rstats - rolled my own http://t.co/uY4btOac (13 Oct)
• teoliphant: Another example of how Numba makes it easy to speed up numerical Python several orders of magnitude: http://t.co/YArVU6iu (13 Oct)
• vsbuffalo: Via today’s r/programming: http://t.co/SgUgXR6Y Good read. (12 Oct)
• russpoldrack: New paper by Josh Carp in Frontiers in Brain Imaging Methods on the effects of methodological variability in fMRI http://t.co/QrCz6YRF (12 Oct)
• revodavid: 9 lightning talks on R [SLIDES]: http://t.co/ivdARrfw #rstats #BigData #Hadoop #DataViz #sabermetrics (12 Oct)
• patrickDurusau: RP Databases for Machine Learning Experiments #topicmaps #ML #databases #data - http://t.co/V8Ecvwl8 (12 Oct)
• jrecursive: The Evolution of the awk Language - http://t.co/7tHVIzyy - seem familiar? (12 Oct)
• StatFr: “All credit card PIN numbers in the World leaked” http://t.co/iovmyoyN nice statistical analysis ! (12 Oct)
• walkingrandomly: Alternatives to Simulink http://t.co/7lwNbWR4 (12 Oct)
• StatFr: “Misrepresentation of Randomized Controlled Trials in Press Releases and News Coverage: A Cohort Study” http://t.co/4Q6zSEfM (12 Oct)
• StatFr: “Can You Live Without a Data Scientist?” http://t.co/VDnX18Os by @tdav in @HarvardBiz via @trevorbass @freakonometrics (12 Oct)
• jjgibaja: Andrew Ng’s CS 229: Machine Learning (Course handouts) | @scoopit http://t.co/zXWc0qqQ (12 Oct)
• triadsou: [Meta-Analysis][bayes] / “Estimating heterogeneity variance in meta-analysis - Rukhin - 2012 - Journal of the Royal S…” http://t.co/hr67eUKC (12 Oct)
• zentree: “Overlay of design matrices in genetic analysis” in Quantum Forest. http://t.co/Lab7AkEC #rstats #asreml @mja (12 Oct)
• Peter_Tennant: At the time, I wrote about my concerns about the misuse of ordinal data (albeit common in mental health research) http://t.co/dKwzaWOF (12 Oct)
• Peter_Tennant: But Kirsch et al’s review (on which this claim was based) http://t.co/eWs88bhU … drew dubious (biased?) conclusions: http://t.co/wFlF5FFt> (12 Oct)
• IgorCarron: On Nuit Blanche now: Invariance of Principal Components under Low-Dimensional Random Projection of the Data http://t.co/jUlQjeja (12 Oct)
• fhuszar: All you guys out there doing text modelling over TF-iDF features. Try L2 normalisation instead, simple and kicks arse: http://t.co/zasmhIry (12 Oct)
• Atabey_Kaygun: An implementation of support vector machines (SVMs) in #lisp: http://t.co/8rKF0k6p #machinelearning (12 Oct)
• JeromyAnglim: a little tumblr experiment for recording #rstats notes http://t.co/ieWcxUm4 12 Oct)
• nkeriks: Love risk prediction? Check out our new article http://t.co/aps3QaCm and my post working out a simple example http://t.co/QxmSeNjD (12 Oct)
• mbostock: 334 examples, now with thumbnails and infinite scroll: http://t.co/N7MoeVwt (12 Oct)
• StatFact: Numerator-only data http://t.co/Kukukt18 (11 Oct)
• drewconway: @jeffrey_heer also, see @HarlanH’s work on defining the term through a larger survey http://t.co/pvnFdDmq (11 Oct)
• catherinedevlin: Blogged: IPython Notebook tutorial with doctest feedback http://t.co/NB9hYya0 (11 Oct)
• hadleywickham: My attempt at explaining R’s C interface: https://t.co/qX6xifuI. Let me know what’s missing or wrong #rstats (11 Oct)
• fogus: Clojure’s Mini-languages http://t.co/x69aHcU9 via @prismatic (11 Oct)
• blattnerma: RT @WiringTheBrain: Correlation b/w Nobel prizes and chocolate consumption (r=0.79!) http://t.co/naCrgkB1 via @IgorBrigadir (11 Oct)
• sol_prog: How to create a simple C++11 project with Xcode http://t.co/0tEg5CjR (10 Oct)
• jtrnix: Just published a notebook that demos #IPython parallel push, execute, and pull: http://t.co/VW9NEoVF (tested on #EC2 w/ #StarCluster) (10 Oct)
• vijaykiran: Just what I needed for upcoming vacation :) http://t.co/acwPoUeU (10 Oct)
• cemerick: url 0.0.7 released, a library to make working with URLs in Clojure a little more pleasant: https://t.co/prlZqFsS (10 Oct)
• Atabey_Kaygun: An implementation of the k-means clustering algorithm in #lisp. http://t.co/ehc8HTaA (10 Oct)
• JanWillemTulp: wow! RT @moebio: my last (mini) research project: Typode, a font that can be reshaped http://t.co/KcpxfHCj (10 Oct)
• patrickDurusau: Animating Random Projections of High Dimensional Data [‘just looking around a bit’] #topicmaps #projection - http://t.co/PhkZf7fa (10 Oct)
• GaelVaroquaux: Scientific Python, Data Analysis and Visualization: slides for my talk at Espresso summer school http://t.co/rmwnwAU5 #scipy @scikit_learn (10 Oct)
• Rbloggers: A brief script on Geographical data analysis in R: (This article was first published on jkun… http://t.co/xWRw8ARh #rstats (10 Oct)
• BioStarQuestion: Using a variable as a blocking factor vs putting it as a term in the model formula? http://t.co/NGg3JXYk (10 Oct)
• zentree: Hey, dad, May I play with the internal development build of Mathematica? Sure, and ask the developers if you need help. http://t.co/4PaSbkyQ (10 Oct)
• mikaelhuss: Nice visualizations of how ensemble classification methods can help: http://t.co/gzH4H3n4 (9 Oct)
• trished: Elizabeth Loder: Liberating clinical trial data http://t.co/2vEr8MQV “solutions have been invented or at least imagined” @eloder (9 Oct)
• silentbicycle: Slides, notes, and other links for my “Data Structures: The Code That Isn’t There” #StrangeLoop talk - http://t.co/49EaOAiE #AtomicObject (9 Oct)
• openprocessing: Processing 2.0 support (aka Javascript uploads) is here! Share your sketches in @processingjs! Read more on the blog: http://t.co/fxhY9E5o (9 Oct)
• TeXtip: stargazer: An R package that produces LaTeX code for well-formatted regression and summary statistics tables http://t.co/2DSKt4JX (9 Oct)
• Atabey_Kaygun: Stylish Lisp programming techniques http://t.co/sTQVPCN4 (9 Oct)
• msgbi: A Gentle Introduction to Python - Mechanical MOOC http://t.co/SpybgY79 (9 Oct)
• RickWicklin: Survey article (2005): Review of techniques for treating missing data: http://t.co/0VhabM4g #statistics In #SAS, use PROC MI (9 Oct)
• albertocairo: Robert Kosara @eagereyes reviews “The Functional Art” http://t.co/4pUoq77w Humbled… (9 Oct)
• planetclojure: Replacing Common Code With clojure.set Function Calls http://t.co/GVBlP0Ya (9 Oct)
• nicolastorzec: MapReduce Design Patterns, which focuses on common data processing patterns, to be released in December http://t.co/8oRLxYat - via @rjurney (9 Oct)
• DataJunkie: Bash History Expansion (very useful!) http://t.co/A1TaXrPe (9 Oct)
• abmathewks: Improving Predictions Using Ensemble Bayesian Model Averaging: http://t.co/CTILxMjP (9 Oct)
• lynaghk: #angularjs + #clojurescript, my initial thoughts: https://t.co/CPZ3iKrG /cc @brentonashworth @ibdknox @kovasb @swannodette @mhevery (9 Oct)
• onethingwell: homebrew-cask - A friendly homebrew-style CLI workflow for… Mac applications distributed as binaries. http://t.co/AO1UFkSs (8 Oct)
• HarlanH: Good manifesto about Data Scientists: http://t.co/8G15FPLT (if a bit hard on the term #DataScience) (8 Oct)
• pwang: Using R and Python for Data Analysis: http://t.co/v6M8Bysd (8 Oct)
• jedisct1: “@smashingmag: Tributary: an experimental environment for rapidly prototyping visualization code - http://t.co/wE9445xx” (8 Oct)
• patrickDurusau: RP A Backstage Tour of ggplot2 with Hadley Wickham #topicmaps #R #ggplot2 - http://t.co/WYSvxchX (8 Oct)
• lizardbill: “I don’t need to know everything, I just need to know where to find it, when I need it.” -Albert Einstein (7 Oct)
• inningPalmer: RT @timoreilly: Your phone will soon be your new doctor http://t.co/KzOFLR5B Only one of the many topics we’ll cover at #strataRx… (7 Oct)
• clacote: Shortcuts for everything on OSX RT @everzet: Oh my. This is brilliant: http://t.co/l9fXfBNL (7 Oct)
• FGRibreau: Nodecellar - Sample Application with Backbone.js, Twitter Bootstrap, Node.js, Express, and MongoDB // Useful for start http://t.co/BQQVO9Po (7 Oct)
• Atabey_Kaygun: #Lisp idioms: http://t.co/1PQjjlpJ (7 Oct)
• hadleywickham: @scheidegger have you seen http://t.co/dn0p9Chw ? (7 Oct)
• MongoDB: Introduction to MongoDB and Ruby http://t.co/Fh8kNB0r (6 Oct)
• emacs_knight: web-mode https://t.co/ji4RThd0 is an interesting new mode that promises to handle properly html + php/js/rb/etc (6 Oct)
• jrnld: related to #xkcd and #dataviz. See this awesome paper by the Stanford Vis Group http://t.co/2OBepX17 (6 Oct)
• avibryant: “Light Table is as much about rediscovering the past as it is about crafting a new future.” http://t.co/NQ0OrMA5 @ibdknox (6 Oct)
• genetics_blog: Ultrafast genome-wide scan for SNP–SNP interactions in common complex disease http://t.co/BsNoZY4w cc @moorejh @marylynritchie (6 Oct)
• t3kcit: New blog post: playing with matplotlib.animation and visualizing high dimensional data using projections. http://t.co/poH109L2 (6 Oct)
• DataJunkie: Writing Idiomatic Python: http://t.co/HGvw39Z6 (6 Oct)
• jeffrey_heer: Who are “data scientists” and what do they do? We interviewed 35 analysts to find out: http://t.co/TcJzyhkh #visweek (5 Oct)
• druvus: The top 20 data #visualisation tools http://t.co/tBqDhHK0 (5 Oct)
• moritz_stefaner: A file based cms sounds like an extremely good idea to me - does anyone have experience with e.g. Kirby? http://t.co/zojvjhMI (5 Oct)
• FGRibreau: Nodecellar - Sample Application with Backbone.js, Twitter Bootstrap, Node.js, Express, and MongoDB // Useful for sta… http://t.co/2IDsF0PC (5 Oct)
• newsycombinator: Things you didn’t know about Python http://t.co/q0T8xyfH (5 Oct)
• pavlobaron: “@alexey_r: The mathematics behind Hadoop-based systems http://t.co/DasNDX5I http://t.co/5YlzgjjZ” by @nathanmarz (5 Oct)
• epoz: Hardcore: http://t.co/3R07OY9X The dude from Sublime Text makes amazing animated screencast PNG web tool. #impressive (5 Oct)
• pgroth: A serious company to watch - these guys are major in cs - great on hci and data management http://t.co/QHa7hFJs (5 Oct)
• JanWillemTulp: useful perhaps? #data-js: a uniform interface to domain data. http://t.co/xlQfZljO #js (5 Oct)
• psychepi: Witten & Tibshirani 2012: Scientific research in the age of omics: the good, the bad, and the sloppy http://t.co/BHfZKLVv #greattitle (5 Oct)
• ialuronico: If you wonder how to find data http://t.co/qp1GtNyT (5 Oct)
• nicolastorzec: Google is stopping its support to Refine and giving it back to the open source community. Survey: https://t.co/v29AJT3j #grefine #openrefine (5 Oct)
• Stiivi: Cubes 0.10 (lightweight #python #olap) released. Summary: dimension template, table rows, cross table, simple model http://t.co/tLtSJSQ6 (5 Oct)
• revodavid: rmr 2.0 is out, improved API and fastre connection between #rstats and #Hadoop to analyze #BigData: http://t.co/TbQABxwc (5 Oct)
• blattnerma: Wolframalpha 1.0 http://t.co/LdNpFTlU via @zite #python #wolframalpha (4 Oct)
• gappy3000: Python+Pandas <-> R cheat sheet. https://t.co/j2NfXj4m #rstats #pydata #python #incomplete \cc @wesmckinn (4 Oct)
• mrtaryk_en: multiple-cursors ( https://t.co/WyQUhijH ) I’ve found it! In addition http://t.co/hMjoLP5D> (4 Oct)
• old_sound: The only “7 languages in 7 weeks” book you’ll ever need: http://t.co/eWIuEDOc /cc @larshesel (4 Oct)
• mbostock: Demo of van Wijk’s “Smooth and efficient zooming and panning” technique http://t.co/reOc1I99 #d3js (4 Oct)
• newsycombinator: Another Way Apple’s Fight Against Google Is Hurting Users http://t.co/SPBGFUgt (3 Oct)
• onethingwell: Terminal Keynote - Present plain text, syntax-highlighted slides in your terminal. http://t.co/GFV30o1r (3 Oct)
• fhuszar: counting stuff in mongoDB via map_reduce operation makes me feel invincible :) http://t.co/blsCyj7K (3 Oct)
• MongoDB: Automating a Secure MongoDB Deployment with Chef http://t.co/pDvjFj09 (3 Oct)
• mathematicsprof: A nice, well written, free, book in beginning linear algebra in pdf format -> http://t.co/m8zMatdf (3 Oct)
• moclanmomo: For #Rasch models: The covariance structure of conditional maximum likelihood estimates http://t.co/lMM79Xcw #statistics #mathematics (3 Oct)
• moclanmomo: For #Rasch models: Asymptotic expansions for conditional moments of Bernoulli trials http://t.co/Yq65R9cS #statistics #mathematics (3 Oct)
• ialuronico: If only I was that productive in the free time: https://t.co/Z423P7oM (3 Oct)
• poezn: Remix of short #d3js tutorial videos. Instant learning guaranteed! “Dot-Enter” – Brought to you by @enjalot http://t.co/h4WXfC61 (3 Oct)
• revodavid: R 2.15.2 coming Oct 26, will include multistratum MANOVA, improved performance, more data on 64-bit systems: http://t.co/a96SFwwk #rstats (3 Oct)
• ellisonbg: @fonnesbeck http://t.co/mldSvYdU is my latest try and it is probably my favorite so far. (2 Oct)
• fonnesbeck: Online Python Tutor - Learn programming by visualizing code execution http://t.co/4dMFYqqT (2 Oct)
• jedisct1: LanguageTool, an open source proofreading software for English, French, German, Polish & more than 20 other languages: http://t.co/VxDYbOSg (2 Oct)
• sandakano: My homemade python/flickr application has successfully posted over 12,000 photos. Many thanks for this library: https://t.co/uucTGd4P (2 Oct)
• rjurney: Introduction to Pig’s CUBE operator. http://t.co/4JNYbZzg (2 Oct)
• rjurney: My post: TF-IDF in 2 lines of code with Pig Macros http://t.co/r3nXKQjL (2 Oct)
• hadleywickham: where in the world is rstudio and #rstats? http://t.co/bGmsmKp9 (2 Oct)
• berndweiss: GOSH – a graphical display of study heterogeneity http://t.co/MKvUhekb #metaanalysis #stata (1 Oct)
• mikaelhuss: Seems like a cool book: Exploring Everyday Things with R and Ruby - Discover the world around you through programming http://t.co/nNVs08fr (1 Oct)
• krees: Please follow @periscopic if you want to get live tweets from my #strataconf presentation today. http://t.co/QxdVBdoc (1 Oct)
• drchuck: Blog Post: Visualizing the Geographic Distribution of my @Coursera Course http://t.co/lNI8eikh (1 Oct)
• nicferrier: more madness. a database interface in emacs, with a simple implementation https://t.co/KHp94fCX (1 Oct)