A final reminder that the EARL (Effective Applications of the R Language) Conference is only a month away; the conference will be held in London from the 15-17th September. [Read more...]

In the last 12 months we traveled all over the world delivering talks and hands on workshops at various conferences and universities. This was a great opportunity for us to raise awareness for the project and get more of you involved as contributors and collaborators. As we scale the project to ... [Read more...]

I occasionally get emails from people thinking they have found a bug in one of my R packages, and I usually have to reply asking them to provide a minimal reproducible example (MRE). This post is to provide instructions on how to create a MRE. Bug reports on github, not ... [Read more...]

[Dennis Prangle sent me his comments on our ABC model choice by random forests paper. Here they are! And I appreciate very much contributors commenting on my paper or others, so please feel free to join.] This paper proposes a new approach to likelihood-free model choice based on random forest ... [Read more...]

This post is first in a series that looks at the inferences you can make using social media data. The …Continue reading → [Read more...]

I have been working on a visualisation to highlight the results from my paper Fracking Growth, to highlight the local economic impact of the recent oil and gas boom in the US.  There are two key insights. First, there are strong spillover effects from the oil and gas sector. I ... [Read more...]

Hello Computer Science and/or R enthusiasts.This week I had the opportunity to try something that was in my To-Do list a while ago. The idea came almost instantly after reading Dr. Richard Dawkins book, The Selfish Gene (which was a BD gift, thanks Andy).I feel the obligated ... [Read more...]

This is a short post presenting the great package semPlot developed by Sacha Epskamp (check out his nice website: http://sachaepskamp.com/) to make nice plots from your SEMs. SEMs are a modelling tool that allow the researcher to investiguate complex relationships between the variables, you may find here many ... [Read more...]

This was supposed to be a post in which General Social Surveys (GSS) data were used to understand a bit more about the causation of differences between states. Thus it was to give additioanl insight than my previous post; Guns are Cool - Differenc... [Read more...]

A week or so ago, the grand Magus over at lamages.blogspot.com/ published a great, quick thought exercise taken from Daniel Kahneman’s book Thinking, Fast and Slow. Here are the particulars of the problem: you’re in a community with two different color vehicles; 85% are green and 15% are ... [Read more...]

Recently I had the pleasure of teaching data analysis at the 2014 UC Davis Proteomics Workshop. This included a hands on lab for making gene ontology enrichment networks. You can check out my lecture and tutorial below or download all the material. Introduction Tutorial 2014 UC Davis Proteomics Workshop Dmitry Grapov is ... [Read more...]

[This article was first published on Data Analysis and Visualization in R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) [Read more...]

[This article was first published on Turning numbers into stories, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to [Read more...]

In my previous post I gave some background information on the Commitments of Traders report along with a selection of summary plots. One of the more interesting pieces of information that one can glean from these reports is the shift in trading sentiment from week to week. Below is a ... [Read more...]

I often find myself working with data that includes dates and times. Sometimes I am interested in looking at what happened on on a particular calendar day. I usually avoid dealing with actual datetime formats when working at the day … Continue reading → [Read more...]

I just finished reading Bioinformatics with R Cookbook...so here's my review -:)I was excited to read this book, because it's been a while since I read any R book...but...I gotta admit...this is not my kind of book...as I discovered that obviously... [Read more...]

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So says CIO.com, in a recent article 11 Market Trends in Advanced Analytics. R, an open source programming language for computational statistics, visualization and data is becoming a ubiquitous tool in advanced analytics offerings. Kirsch says nearly every top vendor of advanced analytics has integrated R into their offering and ... [Read more...]

Community Community is at the heart of rOpenSci. We couldn't have accomplished most of our work without help from various contributors and users. Most of our discussions with the broader community over the past year have been through twitter or one-on-one conversations. However, we would like to foster more open ... [Read more...]