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Duration 14 hours
Course Outline
Introduction to R Markdown
- Understanding R Markdown and its benefits
- Installation and configuration within RStudio
- Overview of the basic document structure
Managing Code Chunks
- Creating and customizing code chunks
- Regulating output and chunk behavior
- Incorporating plots, tables, and inline R code
Text Formatting and Markdown Syntax
- Applying headings, lists, links, and emphasis
- Inserting tables and images
- Using LaTeX for mathematical notation
Output Formats and Rendering
- Rendering to HTML, PDF, and Word
- Configuring outputs via YAML headers
- Navigating the knit process and resolving errors
Advanced Document Capabilities
- Implementing parameterized reports
- Adding conditional content and interactivity
- Reusing content through child documents
Customization and Styling
- Applying themes and templates
- Developing custom styles using CSS and LaTeX
- Designing title pages, table of contents, and cross-references
Publishing and Collaboration
- Publishing to Rpubs, GitHub, or websites
- Managing collaboration and version control
- Adhering to best practices for reproducible reporting
Conclusion and Future Steps
Requirements
- A solid grasp of basic R syntax and core functions
- Experience with the RStudio environment
- General awareness 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