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Duration 14 hours
Course Outline
Introduction to R Markdown
- Understanding R Markdown and its strategic advantages
- Installation and configuration of R Markdown within RStudio
- Exploring the basic structure of an R Markdown document
Managing Code Chunks
- Creating and customizing R code chunks
- Controlling output behavior and chunk execution
- Integrating plots, tables, and inline R code
Text Formatting and Markdown Syntax
- Applying headings, lists, links, and emphasis
- Incorporating tables and images
- Utilizing LaTeX for mathematical notation
Output Formats and Rendering
- Generating HTML, PDF, and Word documents
- Managing output settings via YAML headers
- Navigating the knit process and troubleshooting common errors
Advanced Document Capabilities
- Building parameterized reports
- Implementing conditional content and interactive elements
- Reusing content through child documents
Customization and Styling
- Applying themes and templates
- Developing custom styles using CSS and LaTeX
- Adding title pages, tables of contents, and cross-references
Publishing and Collaboration
- Distributing R Markdown via Rpubs, GitHub, or corporate websites
- Managing document collaboration and version control
- Adopting best practices for reproducible reporting
Summary and Next Steps
Requirements
- Foundational knowledge of R syntax and core functions
- Proficiency with the RStudio integrated development environment
- A general grasp of data analysis workflows
Target Audience
- Data analysts and data scientists
- Researchers and academic professionals
- Report writers and documentation specialists working with R
Testimonials (3)
I finally understood the idea of the pipes and how to use R in our work context.
Katrin Groth - Senatsverwaltung fur Bildung, Jugend und Familie
Course - Data Analytics With R
a multitude of points
Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R
knowledge of the trainer, tailor based, all topics covered