Here is the latest bag of tweets^*, which covers January 2014.

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

• DiffusePrioR: New AER: Applied Econometrics with R package allows weak IV tests for >1 endog vars and sandwich based test stats http://t.co/ZCoBc2kJOz (29 Jan)
• shoha99: Good read - “The Role of Algorithms in Data Visualization” http://t.co/jfytoglNxv @FILWD #DataVizQMSS (28 Jan)
• treycausey: IPython Notebooks in Sublime Text 3. https://t.co/4HgQ28GLPV (28 Jan)
• hadleywickham: @josh_wills @HarlanH here’s a very early start on motivating them in R: https://t.co/z3xaElvB4c (28 Jan)
• HarlanH: @josh_wills @hadleywickham This on Monads and map-reduce is also excellent: http://t.co/51N2Fd5woW (28 Jan)
• hadleywickham: @HarlanH this http://t.co/GeNwvrZxfu, but it’s actually really obvious in the context of lapply (28 Jan)
• DataCamp_com: On the invention of the S and R language http://t.co/cr96KiJEMt (28 Jan)
• flash_us: Graphical representations of linear models http://t.co/fWihkI2Vy7 #Python #seaborn via @statsepi (28 Jan)
• marcusborba: #Python Scientific Lecture Notes http://t.co/UJRwdbNGl6 #BigData #Analytics #DataScience (27 Jan)
• HNTweets: Making GIFs From Video Files With Python: http://t.co/vfgbMPWzzS Comments: https://t.co/RkF7Ffvbbx (26 Jan)
• lenngrenm: 16 free ebooks on machine learning: http://t.co/1iRtUwaszE #machinelearning #ebook (26 Jan)
• d8Pit: Xah at Blogger: Wolfram Language and Lisp, Clojure | http://t.co/MGM5oTKrI5 (Spotted by @ErgoEmacs on #clojure) (25 Jan)
• mja: Supplementary data in this epidemiology article was typeset with knitr http://t.co/aiQkkNDwXG (25 Jan)
• BestSQL: Loading data in #PostgreSQL, fast: pgloader 3.0.98 is out at http://t.co/HLRJ9uHMWN ; fixed and even faster data error handling. (25 Jan)
• fperez_org: 2013 progress report for the work we’re doing in #IPython with the @SloanFoundation support by @epistemographer: http://t.co/uFcVfBiEO1 (24 Jan)
• josh_wills: Great write-up of @dpatil’s talk on building data products by @lpolovets: http://t.co/BVq7VPsU9H (24 Jan)
• cyrillerossant: Great #NumPy tricks here http://t.co/zKQZOOKIXj #python (24 Jan)
• HarlanH: Why I’m Betting on Julia http://t.co/z2Or1ITAgx (24 Jan)
• fonnesbeck: @annmariastat Sorry, missed your tweet. We have a bunch here: http://t.co/UgkBAHZFIj (24 Jan)
• analyticbridge: IPython, RMagic, and Plotly: Graph and Analyze Titanic Passenger: http://t.co/u75zBEG0g9 (23 Jan)
• robjhyndman: Slides from my online forecasting course http://t.co/KfYTfmMBMQ (23 Jan)
• jseabold: @slendrmeans @tdhopper Stachurski’s book is relatively new (and uses python) http://t.co/Q2PCsrONt4 (23 Jan)
• zaxtax: For those getting started with ABC, this paper isn’t a bad start http://t.co/z8d9XQxQYj (23 Jan)
• RPubsRecent: Wrangling Data http://t.co/c7Lc88kTjl (23 Jan)
• strataconf: Create, maintain & share multi-language #data projects w/ IPython at #Strataconf http://t.co/7NLDtCsErb @bigdata http://t.co/khVJtbxo2x (22 Jan)
• vnfrombucharest: New blog post: Kemeny-Young Optimal Rank Aggregation in Python http://t.co/lcsPdpSaHk (22 Jan)
• slendrmeans: @tdhopper Definitely! I just wrote about similar functionality in #julialang. http://t.co/N7oPgOw69z (22 Jan)
• statisticsblog: #R tip of the day - Easy data maps with the choroplethr package. @RevolutionR http://t.co/rOe1jhzttU (22 Jan)
• zoltanvarju: Dijkstra on Haskell and Java http://t.co/jCofuRTct0 (22 Jan)
• tdhopper: The world would be a better place if more Python code used itertools. Itertools recipes: http://t.co/LDIiZVDQLY (22 Jan)
• oceankidbilly: Python package idea: simple theme builder for @YhatHQ’s ggplot (https://t.co/rjHSy5MVcs). Only inputs are color hex, abstract away rcparams. (22 Jan)
• homolog_us: Quilt Plot: A New Visualization Tool (http://t.co/QKwrlOKKnK) (22 Jan)
• nsteinmetz: Comment je suis sorti de l’enfer des TODO lists - http://t.co/MA53eAI00M (20 Jan)
• timgluz: Clojure, the bad first impressions: http://t.co/3rWdO1jICZ , commented out code is shame, specially when using SCM (20 Jan)
• ClojureFact: What is the data structure behind Clojure’s sets? - http://t.co/BHsBMXAEy3 (20 Jan)
• statwonk: For those wondering why a Unix-based system is a must for data science: http://t.co/puByOIoDkX (19 Jan)
• EdwardTufte: ggplot2: Cheatsheet for Scatterplots at R for Public Health (or R for the rest of us) http://t.co/N36fy1nVzW … #statistics #dataviz (19 Jan)
• bbatsov: A Peek at #Emacs 24.4: Auto-indentation by Default http://t.co/v5OpbPSEBe #EmacsRedux (19 Jan)
• patrickDurusau: How to Query the StackExchange Databases #topicmaps #StackExchange #data #query http://t.co/641rGJgKue (19 Jan)
• kwbroman: Slides on “Creating effective figures and tables.” http://t.co/nhDKg9tnCv Source at https://t.co/J3mjHWFmHr (19 Jan)
• zentree: And probe related “Prostate cancer controversy” http://t.co/gzJNY4xpwh (19 Jan)
• patrickDurusau: Introduction to Statistical Computing #topicmaps #statistics #R #computing http://t.co/5yJDm2Q3mQ (19 Jan)
• statslabdublin: http://t.co/i6TkoBiu9b is a web interface for the ggplot2 R package. Very easy to use and fun to play with. http://t.co/18g2vgzZa4 (19 Jan)
• EdwardTufte: Double-binning boxplots: “categories"created by binning measured data + boxplots using ordinal categories http://t.co/HnHIZIN4tQ (18 Jan)
• GVBodenhausen: Why publishing everything is more effective than selective publishing of statistically significant results http://t.co/Pd5qWEZGEZ (18 Jan)
• hadleywickham: introducing dplyr: http://t.co/GQxeSi0qxO. The next iteration of plyr with more speed, a nicer API, and seamless database support #rstats (18 Jan)
• jrmontag: The ‘recipes’ section in #python’s itertools is great. http://t.co/3CgHIQgAon Let’s get similarly useful cookbooks in more official docs! (17 Jan)
• mikaelhuss: Topological data analysis with R http://t.co/nbQudFS4Bb (17 Jan)
• stevelosh: holy shit a common lisp library with good docs https://t.co/JXOnhuXaj0 (15 Jan)
• drago_carlo: Exploratory spatial data analysis using Stata. http://t.co/bXdqCJkyqX via @epistatic @Stata #SpatialStatistics #Econometrics #Mapping #Stata (15 Jan)
• benhamner: Answered a question on nested list comprehensions in Julia. Coming from Python, this had bitten me as well http://t.co/QloAXRFfpL (15 Jan)
• DataTau: A tutorial on random forest classification using python’s scikit-learn: http://t.co/KwnELyHzJU (15 Jan)
• DataTau: Real scientists make their own data: http://t.co/jmd0Vm92b5 (15 Jan)
• gappy3000: Metalua isn’t Lisp. Interesting consideration on metaprogramming for Algol-like languages. http://t.co/3XW9SkTB8Q (15 Jan)
• kevin_ushey: An ’enumerate’ function that operates like ’lapply’ but also passes the index, e.g. function(x, i, …): https://t.co/1ebW5aKg6B #rstats (15 Jan)
• patrickDurusau: The Art of Data Visualization (Spring 2014) #topicmaps #graphics #visualization #data http://t.co/In46WLbGIO (14 Jan)
• zentree: I wish all journals displayed articles like eLife Lens. http://t.co/hmqFfqlkIK Moving beyond paper constraints via @jeffj312 @hadleywickham (14 Jan)
• Rbloggers: Part 2: Make your R figures legible in Powerpoint/Keynote presentations: (This article was first pu… http://t.co/QcRFWlvkQm #rstats (13 Jan)
• ClojureFact: Profiling tool for #Clojure? - http://t.co/zKFejMJ0a2 (13 Jan)
• damian_avila: @John_B_Cole yep… IPython slides: http://t.co/LH7hN7uHF4 and more info: http://t.co/uc28pnEm4r (13 Jan)
• planet_lisp: Christophe Rhodes: slime has moved to github http://t.co/RtxgwknzxF (12 Jan)
• davidjayharris: Hi folks! I just posted my #ASN2014 poster on @figshare. Your comments would be very helpful before I print it. http://t.co/K2w19R0mOm (11 Jan)
• GaelVaroquaux: http://t.co/8YSJTziGOJ Learn git and @github in 15mn: nice story and online prompt to learn git command line and github workflow (11 Jan)
• HNTweets: Root a Mac in 10 seconds or less: http://t.co/fRRsbISdqV Comments: https://t.co/vSbNFzYbLa (11 Jan)
• ucdatalab: New MOOC on Statistical Learning starting on Jan 21 https://t.co/XhICTQrNfW (11 Jan)
• IgorCarron: #NuitBlanche Binary Linear Classification and Feature Selection via Generalized Approximate… http://t.co/ecBVgIIcEE (10 Jan)
• astrobiased: A beautiful visualization of a case study on ship travel logs - http://t.co/yGHZ1ckahp http://t.co/PH2AvgfmSv (10 Jan)
• bearloga: An example showing how to add TableTools (a DataTables plug-in) to your Shiny #rstats app: https://t.co/LyebKmDanM (cc @revodavid @xieyihui) (10 Jan)
• cboettig: Great write-up by @IanMulvany contributing to the @swcarpentry discussion of tools for publishing in a webby world https://t.co/5tZzbPpY2G (10 Jan)
• IEA_Epi: Representativeness is not helpful in studying heterogeneity of effects across subgroups http://t.co/vGW9e3cUY7 - Int J Epi, 2014 (10 Jan)
• ibdknox: Told you it was a big day. #LightTable is now completely open source: http://t.co/p8h0Oiums7 oh and we released plugins too ;) (10 Jan)
• widdowquinn: #PLOSBiology: Best Practices for Scientific Computing http://t.co/RzvOG3hcHj <- Essential (10 Jan)
• kdnuggets: MLbase: Distributed Machine Learning using Apache Spark, scalable ML algorithms & machine learning API #BigData http://t.co/NXHT2XmgUU (8 Jan)
• dysinger: https://t.co/YPenAiG6nB @FPComplete integrates with emacs (8 Jan)
• DataTau: An Introduction to Statistical Learning (PDF) http://t.co/6es83e1mIx. Comments: http://t.co/IaZg9vMFAs (8 Jan)
• drago_carlo: Reinforcement Learning in R: Markov Decision Process (MDP) and Value Iteration http://t.co/qPY09Pl20t via @statalgo (8 Jan)
• richardhorton1: John Ioannidis on reducing waste through better research design, conduct, and analysis. http://t.co/YjAuiy8FQD (8 Jan)
• newshtwit: This may possibly be the most awesome program ever written in the C language. http://t.co/ygLj3PiFpI (8 Jan)
• kittykaraoke: This makes me happy. “All Feynman Lectures on Physics now freely available online: http://t.co/4lVdl5IgRl” via @FQXi (8 Jan)
• stevepiccolo: Our recent paper in @PLOSBiology: “A Field Guide to Genomics Research” http://t.co/QUyTZjQqxp #genomics #bioinformatics #biology @wejlab (7 Jan)
• gvanrossum: The git/hg debate isn’t over… https://t.co/RX1CsWZwda (7 Jan)
• ErgoEmacs: Mathematica vs Lisp Syntax http://t.co/DJvKx3Xd0R #lisp #haskell #clojure . http://t.co/mAI0YVQDGi (7 Jan)
• raphg: Just saw that #data.table v1.8.11 will include custom melt and dcast. This is awesome! Thanks @MattDowle and @arun_sriniv. #rstats (7 Jan)
• blprnt: Writer, theorist & big data critic @katecrawford. Here’s her essay on the hidden biases of big data: http://t.co/BBJwFF1bWc #eyeo2014 (4/4) (7 Jan)
• ptaoussanis: Finally tried Cljx (https://t.co/xiao47E1jK) for sharing code between Clojure & ClojureScript. Verdict: sweeeet. Much nicer than crossovers. (7 Jan)
• flowingdata: Introducing R to a non-programmer in one hour http://t.co/KOUvPJiUiI (7 Jan)
• reid_jf: #rstats knitr: Child documents: Input child files into the main document http://t.co/6svW6WJbye (7 Jan)
• reid_jf: Comparing machine learning classifiers based on their hyperplanes or decision boundaries - http://t.co/Dk9PSqOtfO (7 Jan)
• GaelVaroquaux: Randomized parcellation based inference— http://t.co/HRGWvEfC37 Our new NeuroImage paper to improve statistical power in brain mapping fMRI (7 Jan)
• lucaborger: RT @zentree: ‘How to use vectorization to streamline simulations’ #Rstats http://t.co/LgfN5HPaDj (7 Jan)
• JustGlowing: A guide to Python’s function decorators http://t.co/NLULruOYjX (7 Jan)
• JMDugan: ipython in action, publishing a document with working code embedded http://t.co/c3VdrW2xt7 - regex golf (7 Jan)
• d3visualization: Haskell, WebSockets and #d3js http://t.co/iBdoo6mQ2y Jan Machacek (7 Jan)
• planet_lisp: Cyrus Harmon: Common Lisp and Java http://t.co/2uILJXpGHH (7 Jan)
• cortesi: @peteskomoroch @jostheim @seanjtaylor Also, see this post and tool for training data: http://t.co/ukbx6vrVWT (6 Jan)
• brendan642: @gappy3000 i think this was in a comment there, but is a nice followup http://t.co/GEw3Xv5KnA (6 Jan)
• gappy3000: This post on keeping the top 10 predictors (http://t.co/VudLNiBTo3) reminded me of this paper by Wasserman (http://t.co/rjO4azPBMM) (6 Jan)
• james_hicks: The performance gains from switching R’s linear algebra libraries http://t.co/gn0TfKMfF0 #rstats (6 Jan)
• ProbabilityPuz: http://t.co/Pg5NvePGz3 An illustration of the multi-armed bandit #probability #puzzles RT if you like (6 Jan)
• derekgreene: nimfa - a #python libary for Nonnegative Matrix Factorization #nmf techniques: http://t.co/TxiFCX7ygp #machinelearning (6 Jan)
• ryanjoneil: @tdhopper Someone who knows Git well should write a version of the Seven Stages of a Perl Programmer for it: http://t.co/ndrEF0eEpR (6 Jan)
• stochastician: New blog post: Want to learn PDEs but are a bit rusty on the ol’ mathematical physics? It’s not that bad! http://t.co/76vtms6OLX (6 Jan)
• sjmgarnier: It’s #R vs #Python, or @sjmgarnier vs @randal_olson. Round 1: pretty barcharts and violent movies! http://t.co/Lh5dvGqZU4 #dataviz (6 Jan)
• kevin_ushey: An excellent blog post on understanding how #rstats looks up variables (environments, frames, namespaces et al): http://t.co/CaChXuuGnU (6 Jan)
• DataTau: Show DT: Simple Kmeans++ in Julia https://t.co/5zRqRwy606. Comments: http://t.co/05xx8IvuZ2 (6 Jan)
• msgbi: An Introduction to Hadoop 2.0: Understanding the New Data Operating System http://t.co/6CQsefD9KP (5 Jan)
• SublimeTxtTips: RT @SublimePackages dired: SublimeText dired plugin http://t.co/NyKEzfdV16 (5 Jan)
• pgroth: Very cool autherea + ipython notebooks https://t.co/lB1jvNwHnW (5 Jan)
• HNTweets: Norvig’s Law: http://t.co/bVRPD8plyx Comments: https://t.co/XfHl7FeIrY (5 Jan)
• ronert_obst: NIMFA : A Python Library for Nonnegative Matrix Factorization; Marinka Žitnik, Blaž Zupan http://t.co/5wXlTuWvLn (5 Jan)
• arnicas: Wow. RT @kennethreitz: Newspaper is an amazing Python 2 library for extracting & curating articles from the web. http://t.co/wcrMXE2akT (5 Jan)
• HNTweets: Why I no longer contribute to StackOverflow: http://t.co/eSmJHZXvnx Comments: https://t.co/EKTmgAbBq8 (5 Jan)
• vizbi: VIZBI 2014 tutorial – ‘Gitools: data visualization and analysis using interactive heat-maps… http://t.co/D4UIQrv6Y5 (5 Jan)
• vizbi: VIZBI 2014 tutorial – ‘Decorated, interactive multiple sequence alignments with HTML5 without… http://t.co/6klS5pA9e7 (5 Jan)
• statsepi: Three Ways to Run Bayesian Models in R http://t.co/kNw9HDlQMb (5 Jan)
• BlogWissen: #Mathics, freies Computer-Algebra-System mit Mathematica-Syntax: http://t.co/CzYjsNBzNq (5 Jan)
• peter_c_william: Anything But Matlab http://t.co/i68z2yhHbr Might try the new Octave. Or just stick with Anaconda. (5 Jan)
• d3visualization: Crossfilter histograms https://t.co/MNFmdD3VRW by Gajus Kuizinas (5 Jan)
• simplystats: Repost: Prediction: the Lasso vs. just using the top 10 predictors http://t.co/sVgXzT2nBP (4 Jan)
• statalgo: Sutton and Barto “Reinforcement Learning: An Introduction” 2nd Ed. (2012): https://t.co/xoARDXd29N; excited about update to the 1st edition! (4 Jan)
• Neuro_Skeptic: New post: You don’t need new data to produce new science. Re-analysis and re-interpretation can be original too. http://t.co/II4Ef7yMqP (4 Jan)
• jakevdp: “Statistics, Data Mining, and Machine Learning in Astronomy”, our #Python-powered textbook, is now available! http://t.co/4Z74RgXHof (4 Jan)
• ronert_obst: Relenium, Selenium for R. A new tool for webscraping. http://t.co/HEtC9waQ4S (4 Jan)
• YvesMulkers: WebFOCUS and R for Dynamic Statistical Analysis http://t.co/1yaUYBwPin http://t.co/wHkmgHLsrT (4 Jan)
• zang0: Spark looks interesting, MapReduce w/ shared memory and finer job control - http://t.co/k6PCi5n8lQ (4 Jan)
• tomstafford: Self-Directed Learning A Cognitive and Computational Perspective http://t.co/abNJxgDasy LOVE this from @todd_gureckis & @dougmarkant (4 Jan)
• Conor_Dixon: Sogeti: No more secrets with big data analytics (PDF): http://t.co/QjAIdt1g6S (4 Jan)
• sweden: La beauté de Paris pourtant, est telle, qu’elle supporte n’importe quel temps ping @FranceinSweden @AmbassadeurSE http://t.co/VsdDdRBKzC (4Jan)
• simplystats: Rafa is teaching a MOOC on data analysis for genomics!!! https://t.co/tkCPhNTJL1 I’m registered and I know this stuff -JTL (4 Jan)
• pypi: ipython-beautifulsoup 0.1.1: custom rendering of beautifulsoup object in ipython notebook and qtconsole http://t.co/navkz7H7A6 (4 Jan)
• chanmix51: Didn’t know ORDER BY could be used that way : http://t.co/PehzDzfFSH #postgresql FALSE < TRUE (3 Jan)
• brigittegs: Major Update to the Human Reference Genome GRCh38 via @bioitworld http://t.co/8hIL9HfFml (3 Jan)
• modernscientist: Authorea: online collaborative research platform. LaTex, Markdown, Git version control. https://t.co/jrjotYLLHy via @waltonjones (3 Jan)
• bigmlcom: A Simple Machine Learning Method to Detect Covariate Shift http://t.co/ELidsEiLKe (3 Jan)
• pdehaan: Command Line Utilities with #Nodejs http://t.co/xLR45dXXzD by @shapeshed (3 Jan)
• RichardEudes: Plot Layering for Bland-Altman Graph http://t.co/9WJJyQrDpx #sastip @matange (3 Jan)
• jebyrnes: @recology_ @srsupp Have you looked into phylotools? See also it’s blog http://t.co/zuBbGSIuv0 (3 Jan)
• YhatHQ: Machine Learning – Variable Standardization | Bear.relRoll | http://t.co/Iluox1iq9c (3 Jan)
• JonesZM: awesome org-mode resource http://t.co/5a1mfS3KlF (3 Jan)
• climagic: http://t.co/LIzYV8WJEY # Another site that allows you to share your recorded terminal sessions. Check out that ASCII fluid dynamics one. (3 Jan)
• mxlearn: Dirichlet Process tutorial in Python (w. stick-breaking and CRP) http://t.co/JNutKUvqMY (3 Jan)
• HarlanH: #Rstats: “a community containing, to a first-order approximation, zero software engineers” http://t.co/tcDIVjNWS2 @biotimylated @kevin_ushey (3 Jan)
• jlbouchot: @IgorCarron you might be interested: yet another application of compressive sensing: http://t.co/uC2Z4KdZSS (3 Jan)
• SublimeTxtTips: RT @ToddPund For all you @sublimehq fans out there. Check http://t.co/ruFF4gPmFS out. Great, great page. #SublimeText (2 Jan)
• strataconf: Effective Data Science With Scalding, a Scala DSL http://t.co/M6XnASzj7E at #Strataconf 2014 by @BigDataSc (2 Jan)
• jjgibaja: Teaching linear models — Quantum Forest http://t.co/HNgrTPvgUQ (by @zentree) (2 Jan)
• dickoah: @drewconway Very nice theme. Hopefully there’s an emacs port too https://t.co/2czIIZCWfI (2 Jan)
• RegexTip: Regular expression resources http://t.co/jnHTuJV1S0 (2 Jan)
• arnicas: So, so pretty. With violins. RT @michaelwaskom: Exploring the @kaggle Titanic dataset using seaborn: http://t.co/21xbnfAtHs (2 Jan)
• Biff_Bruise: Think Bayesian prior MT @PhilBirnbaum: Part I on genetic testing probabilities: <http://t.co/qjuuCvlfY5 Part II today: http://t.co/d0gPU5oF1P (2 Jan)
• YhatHQ: Negative binomial with continuous parameters in python | http://t.co/UGqoZkm8A0 (2 Jan)
• healthyalgo: @fonnesbeck @twiecki cool! if you want to recycle my plots from PyMC2 version of this, the code is here: https://t.co/93XzbBMEH3 (2 Jan)
• Graham_Coop: reading @johnhawks best practices for course twitter http://t.co/6iOvnFqFkS (2 Jan)
• HackYourPhd: Sanofi Will Share Clinical Trial Data, But There Is A Caveat http://t.co/b1SxwpqGdZ (2 Jan)
• fonnesbeck: Animating MCMC with PyMC3 and Matplotlib (via @twiecki) http://t.co/xpbSq2fXo6 (2 Jan)
• peterdadamo: DataPunk visualized in Cytoscape. About 60% of these genes have >= 1 natural product linked w. expression http://t.co/p1vq7pDc37 (2 Jan)
• tomstafford: @edyong209 also, all the data and analysis code is open http://t.co/P4G9xrQbpy so any p-hacking couldn’t be hidden (2 Jan)
• jrecursive: ImageLines - http://t.co/zzgqNhKlSs http://t.co/gXo3tUYR9O (2 Jan)
• planetclojure: Using Incanter to review my 2013 reading http://t.co/yQ2MlIoZz2 (2 Jan)
• eddelbuettel: New pqR (“pretty quick R”) release by Radford Neal, plus a new website at http://t.co/B2O3ZxHeGD #rstats (2 Jan)
• JanWillemTulp: A free ebook on #Statistics Done Wrong http://t.co/N0FM7XRJtp /via @flowingdata (2 Jan)
• stuartsierra: Clojure 2013 Year in Review http://t.co/TDt1e55ECG (1 Jan)
• CompSciFact: Computer science cheat sheet http://t.co/lB25vnBZto // more of a math cheat sheet for computer scientists (1 Jan)
• SeanTAllen: “Cartridge is a library for recording & replaying your clj-<http responses.” => http://t.co/ugt9GtSmoT #clojure (1 Jan)
• patrickDurusau: RP Graph for Scala #topicmaps #graphs #hypergraphs #hyperedges #Scala http://t.co/Z3nBl5AXdn (1 Jan)
• tomstafford: It’s in Psych Science. N = 854,064. And you can get all the data, analysis code & a pre-print here https://t.co/BwCrrBaTqh (1 Jan)
• dlinstedt: #datavault - Another Tool In Your ToolBox http://t.co/TqQ2gNHcKB #datavault (1 Jan)