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Course Outline
Introduction to R Markdown
- What is R Markdown and why use it?
- Installing and configuring R Markdown in RStudio
- Basic structure of an R Markdown document
Working with Code Chunks
- Creating and customizing code chunks
- Controlling output and chunk behavior
- Embedding plots, tables, and inline R code
Text Formatting and Markdown Syntax
- Headings, lists, links, and emphasis
- Tables and images
- Mathematical notation with LaTeX
Output Formats and Rendering
- Rendering to HTML, PDF, and Word
- Using YAML headers to control output
- Understanding knit process and troubleshooting errors
Advanced Document Features
- Parameterized reports
- Conditional content and interactive documents
- Reusing content with child documents
Customization and Styling
- Using themes and templates
- Creating custom styles with CSS and LaTeX
- Title pages, table of contents, and cross-references
Publishing and Collaboration
- Publishing R Markdown to Rpubs, GitHub, or websites
- Collaborating on documents and version control
- Best practices for reproducible reporting
Summary and Next Steps
Requirements
- An understanding of basic R syntax and functions
- Familiarity with RStudio environment
- General knowledge of data analysis workflows
Audience
- Data analysts and data scientists
- Researchers and academic professionals
- Report writers and documentation specialists using R
14 Hours
Testimonials (2)
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
The real life applications using Statcan and CER as examples.
