Reproducible Data Analysis with Revolution R Open

David Smith from Revolution Analytics has moved to Chicago! We are very lucky to have him speaking about reproducible analysis with R, a very hot topic.

Doors open at 5:30. Talk begins at 6:00. Pizza provided by Revolution Analytics!

Here are David's abstract and bio:

Good data analysis is reproducible. If someone else can’t independently replicate your results from your data, the consequences can be severe. With R, a major challenge for reproducibility is the ever-changing package ecosystem: it's all too easy to develop an R script using packages, only to find collaborators will download later versions of those packages when they attempt to reproduce your results, and outcome can be unpredictable!

In this talk I'll introduce the Reproducible R Toolkit, and the "checkpoint" package, included with Revolution R Open, and describe some best practices for writing reliable, reproducible R code with packages.

Bio:
David Smith is Chief Community Officer at Revolution Analytics. With a background in data science, he writes daily about applications of R and predictive analytics at the Revolutions blog (blog.revolutionanalytics.com (http://blog.revolutionanalytics.com/)), and was named a top 10 influencer on the topic of “Big Data” by Forbes. Follow David on Twitter as @revodavid.