September 2016

Exploring Fitness Data in R

September 5, 2016 | R on RocketStats

Back in late February, I purchased a Microsoft Band 2. While I don’t exercise every day, I thought it would be fun to track the few health activities I can record. After five months, I’ve got quite a bit of daily step data and a few miles of jogging ...
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astroABC: ABC SMC sampler for cosmological parameter estimation

September 5, 2016 | xi'an

“…the chosen statistic needs to be a so-called sufficient statistic in that any information about the parameter of interest which is contained in the data, is also contained in the summary statistic.” Elise Jenningsa and Maeve Madigan arXived a paper on a new Python code they developed for implementing ABC-SMC, ... [Read more...]

Analyze pull requests and Travis builds using Rperform

September 5, 2016 | Analytical Monk

Always code as if the guy who ends up maintaining your code will be a violent psychopath who knows where you live. – Martin Golding In previous posts, I had discussed how Rperform can be used to obtain and visualize package performance data. However, real-world software development is a collaborative process. ...
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Last few days for EARL London Tickets

September 5, 2016 | Angela Roberts

  Last few days to purchase your tickets for the UK’s biggest R Conference this year! On September 13th-15th at The Tower Hotel, London, the conference has 1 day of workshops which are selling up fast and 2 days of conference with … Continue reading → [Read more...]

Software engineering data sets

September 5, 2016 | Derek Jones

The pretty pictures from my empirical software engineering book are now online, along with the 210 data sets and R code (330M). Plotting the number of data sets in each year shows that empirical software engineering has really taken off in the last 10 years (code+data). Around dozen or so confidential ... [Read more...]

Matlab goes deep [learning]

September 5, 2016 | xi'an

A most interesting link I got when reading Le Monde, about MatLab proposing deep learning tools…Filed under: Books, pictures, R, Statistics, University life Tagged: deep learning, Le Monde, Matlab [Read more...]

R Programming – Pitfalls to avoid (Part 1)

September 5, 2016 | Anup Nair

As we continue to program in R, all of us would have inevitably encountered multiple errors or bugs in our code. Not all programming errors are created equal – Many of the errors we encounter are pretty straight-forward to deal with, with clear, unambiguous error messages that a little googling (or ... [Read more...]

Rcpp 0.12.7: More updates

September 4, 2016 | Thinking inside the box

The seventh update in the 0.12.* series of Rcpp just arrived on the CRAN network for GNU R as well as in Debian. This 0.12.7 release follows the 0.12.0 release from late July, the 0.12.1 release in September, the 0.12.2 release in November, the 0.12.3 release in January, the 0.12.4 release in March, the 0.12.5 release in May, ... [Read more...]

conditional sampling

September 4, 2016 | xi'an

An interesting question about stratified sampling came up on X validated last week, namely how to optimise a Monte Carlo estimate based on two subsequent simulations, one, X, from a marginal and one or several Y from the corresponding conditional given X, when the costs of producing those two simulations ...
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Announcing R Course Finder

September 4, 2016 | Onno Dijt

Did you ever feel knowing exactly what you wanted, but couldn’t find it in a mountain of information? We know how you feel… As the mountain of R courses and tutorials continues to get bigger, we need smart tools to quickly find those that meet our needs best. So, ... [Read more...]

Mirror, mirror on the wall

September 4, 2016 | Pareto's Playground

Introduction Saving your R dataframe to a .csv can be useful; being able to view the data all at once can help to see the bigger picture. Often though, multiple dataframes, all pieces of the same project, need to be viewed this way and related back to... [Read more...]

Shiny and Leaflet for Visualization Awards

September 4, 2016 | grumble10

Next week will be the meeting of the German (and Swiss and Austrians) ecologists in Marburg and the organizing team launched a visualization contest based on spatial data of the stores present in the city. Nadja Simons and I decided to enter the contest, our idea was to link the ... [Read more...]

IBM Data Science Experience:  First steps with yorkr

September 3, 2016 | Tinniam V Ganesh

Fresh, and slightly dizzy, from my foray into Quantum Computing with IBM’s Quantum Experience, I now turn my attention to IBM’s Data Science Experience (DSE). I am on the verge of completing a really great 3 module ‘Data Science and Engineering with Spark XSeries’ from the University of California, ...
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Land Conflict, Property Rights and Deforestation in Brasil

September 3, 2016 | Thiemo Fetzer

Weak institutions and natural resource abundance are a recipe for civil conflict and the overexploitation of natural resources.  In our forthcoming paper with the title “Take what you can: property rights, contestability and conflict”, Samuel Marden and I present evidence from Brazil indicating that insecure property rights are a major ... [Read more...]

Did she know we were writing a book?

September 3, 2016 | John Mount

Writing a book is a sacrifice. It takes a lot of time, represents a lot of missed opportunities, and does not (directly) pay very well. If you do a good job it may pay back in good-will, but producing a serious book is a great challenge. Nina Zumel and I ... [Read more...]

Profiling Rcpp package code on Windows

September 2, 2016 | Nigel

Profiling Rcpp code on Unix/Mac is easy, but is difficult on Windows because R uses a compilation toolchain (MinGW) that produces files that are not understood by common Windows profiling programs.  Additionally, the R build process often removes symbols which allow profilers to produce sensible interpretations of their data. ...
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