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Report writing for data science in R

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This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever.

Author(s): Roger D. Peng
Publisher: Leanpub
Year: 2016

Language: English
Commentary: This version was published on 2016-09-05
Pages: 0

• 1. Getting Started with R
• 2. What is Reproducible Reporting?
• 3. The Data Science Pipeline
• 4. Literate Statistical Programming
• 5. Organizing a Data Analysis
• 6. Structure of a Data Analysis: Part 1
• 7. Structure of a Data Analysis: Part 2
• 8. Markdown
• 9. Using knitr for Reproducible Reports
• 10. Communicating Results Over E-mail
• 11. Reproducibility Check List
• 12. Evidence-based Data Analysis
• 13. Public Reproducibility Resources
• About the Author