Presented by Joseph Rickert at the NYC R Conference, April 25 2015.
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.