ABSTRACT

Bringing together computational research tools in one accessible source, Reproducible Research with R and RStudio guides you in creating dynamic and highly reproducible research. Suitable for researchers in any quantitative empirical discipline, it presents practical tools for data collection, data analysis, and the presentation of results.With str

part |2 pages

I Getting Started

chapter 1|14 pages

Introducing Reproducible Research

chapter 2|10 pages

Getting Started with Reproducible Research

chapter 3|32 pages

Getting Started with R, RStudio, and knitr

chapter 4|14 pages

Getting Started with File Management

part |2 pages

Part II: Data Gathering and Storage

chapter 6|20 pages

Gathering Data with R

chapter 7|22 pages

Preparing Data for Analysis

part |2 pages

III Analysis and Results

chapter 8|14 pages

Statistical Modelling and knitr

chapter 9|22 pages

Showing Results with Tables

chapter 10|22 pages

Showing Results with Figures

part |2 pages

Part IV: Presentation Documents

chapter 11|20 pages

Presenting with LaTeX

chapter 13|26 pages

Presenting on the Web with Markdown

chapter 14|6 pages

Conclusion