Reproducible Research

This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them. The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for peop

• Organize data analysis to improve reproducibility
• Write reproducible data analyses using knitr
• Assess reproducibility of analysis projects
• Publish reproducible web documents via Markdown