Reproducible Research

This course will focus on the concepts and tools that are used to report modern data analyses in a reproducible way. The idea of reproducible research means that data analyses and, more generally, scientific claims are published together with the data and code to allow others to verify and expand upon the results. As data analyses become more complex and involve larger data sets and more complicated computations, the need for reproducibility has increased dramatically. Because of reproducibility, people can focus on the content of a data analyse rather than on details in a written summary. Reproducibility also makes it easier to share an analysis with others, as the code and data that actually performed the analysis are readily available. This course will teach you how to use literate statistical analysis software to publish data analyses in one document. This allows others to perform the same analysis and get the same results.