Toolbox and Toolsets of Reproducible Research

The lecture introduces reproducible research and demonstrates digital self-publishing with RStudio and Git (Hub). The skills described and emphasized in this workflow include data manipulation, graph production, statistical modeling, and dynamic reporting. A series of four talks discusses each skill and gives examples of possible implementations in R.

Of specific importance is the data grooming stage, which enables a productive exploration of the data and establishes custody chains to support research conclusions based on the analytic products.