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Mastering RStudio: Develop, Communicate, and Collaborate with R

You're reading from   Mastering RStudio: Develop, Communicate, and Collaborate with R Harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783982547
Length 348 pages
Edition 1st Edition
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Table of Contents (12) Chapters Close

Preface 1. The RStudio IDE – an Overview FREE CHAPTER 2. Communicating Your Work with R Markdown 3. R Lesson I – Graphics System 4. Shiny – a Web-app Framework for R 5. Interactive Documents with R Markdown 6. Creating Professional Dashboards with R and Shiny 7. Package Development in RStudio 8. Collaborating with Git and GitHub 9. R for your Organization – Managing the RStudio Server 10. Extending RStudio and Your Knowledge of R Index

The concept of reproducible research


The possibility of replicating studies and researches is essential for strengthening the scientific evidence of the related outcomes. Especially when it comes to public trials of the influence on important social decision-making processes; it is particularly relevant to disclose all data sets, analytical methods, and related findings. By enabling such transparency, it is possible for every interested person to reproduce the results of any scientific research. With this approach, all findings can be checked for accuracy and are thus, possibly, corrected or confirmed by third-parties, even though an analysis can be reproducible and still not valid. A basic reproducible workflow could look like the following:

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