July 2015

OpenCPU Release 1.5

July 4, 2015 | Jeroen Ooms

Following a few weeks of testing, OpenCPU 1.5 has been released. OpenCPU is a production-ready framework for embedded statistical computing with R. The system provides a neat API for remotely calling R functions over HTTP via e.g. JSON or P...
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The Greek thing II

July 4, 2015 | Daniel Marcelino

Just few hours before Greeks head to the polls to decide on the bailout agreement, and ultimately, whether the country will stay in the euro, there is no overwhelming advantage of either side. Actually, the margin became blurred over the last three days, with the "Yes" position rehearsing a last-minute ... [Read more...]

The Greek thing

July 4, 2015 | Daniel Marcelino

Greeks have been quite volatile on their opinion whether they should accept or not a proposal by the country's creditors for more austerity to keep aid flowing. The polls conducted over this week look like crazy, though that "belly" was likely provoked by the anxiety on what comes next after ... [Read more...]

IFAR Draft Submitted

July 4, 2015 | dogle

I have submitted a draft of the Introduction to Fisheries Analyses with R to the publisher.  It will now be submitted to a thorough editorial review in preparation for a late 2015 publication (fingers are crossed).  The draft, as a whole … Continue reading → [Read more...]

Review: Machine Learning with R Cookbook

July 3, 2015 | Andrew Collier

"Machine Learning with R Cookbook" by Chiu Yu-Wei is nothing more or less than it purports to be: a collection of 110 recipes for applying Data Analysis and Machine Learning techniques in R. I was asked by the publishers to review this book and found it to be an interesting and ... [Read more...]

FSA Modifications

July 3, 2015 | dogle

I am nearly ready to submit a draft of the Introduction to Fisheries Analysis with R book to the publisher.  Relatedly, I am preparing the FSA package to be version 1.0.0 by the time the book is released.  As part … Continue reading → [Read more...]

The state of assertions in R

July 3, 2015 | richierocks

“Assertion” is computer-science jargon for a run-time check on your code. In R , this typically means function argument checks (“did they pass a numeric vector rather than a character vector into your function?”), and data quality checks (“does the date-of-birth column contain values in the past?”). The four packages R ... [Read more...]

SparkR with Rstudio in Ubuntu 12.04

July 3, 2015 | Amar Gondaliya

Welcome to the blog post! It’s been long time since I wrote last post. I was recently searching about big data with R and I found sparkR package. Few months back I heard about it and it was a separate project on github. Databricks is actively working on sparkR ... [Read more...]

useR 2015: it’s a wrap!

July 3, 2015 | David Smith

The latest worldwide R user conference has just wrapped up in Aalborg, Denmark and useR! 2015 was the best yet. A hearty round of applause to the organizers for a smoothly run, informative and fun event. To the organizers of next year's event in the Stanford, California: the bar has been ... [Read more...]

Exploring the Demographics of Ferguson, Missouri

July 2, 2015 | Ari Lamstein

One interesting feature of Census data is that it can help us to better understand current events and claims by the media. For example, the news coverage of the shooting of Michael Brown in Ferguson, Missouri often reported that Ferguson is predominately black, while the police officers are predominately white. ...
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Introduction to automatic machine learning

July 2, 2015 | Pabloc

Automatic Machine Learning Introduction Introduction "I want to develop a model that automatically learns over time", a really challenging objective. We'll develop in this post a procedure that loads data, build a model, make predictions and, if so... [Read more...]

An Update on Boosting with Splines

July 2, 2015 | arthur charpentier

In my previous post, An Attempt to Understand Boosting Algorithm(s), I was puzzled by the boosting convergence when I was using some spline functions (more specifically linear by parts and continuous regression functions). I was using __ library(splines) __ fit=lm(y~bs(x,degree=1,df=3),data=df) The problem ... [Read more...]
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