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Course Outline
Introduction to R Markdown
- Understanding R Markdown and its benefits.
- Installing and configuring R Markdown within RStudio.
- Exploring the basic structure of an R Markdown document.
Working with Code Chunks
- Creating and customizing code chunks to fit your needs.
- Controlling output display and chunk behavior.
- Embedding plots, tables, and inline R code effectively.
Text Formatting and Markdown Syntax
- Using headings, lists, links, and emphasis for clear structure.
- Incorporating tables and images.
- Applying mathematical notation using LaTeX.
Output Formats and Rendering
- Rendering documents to HTML, PDF, and Word formats.
- Utilizing YAML headers to manage output settings.
- Understanding the knitting process and troubleshooting common errors.
Advanced Document Features
- Implementing parameterized reports for flexibility.
- Creating conditional content and interactive documents.
- Reusing content efficiently with child documents.
Customization and Styling
- Applying themes and templates for a polished look.
- Designing custom styles using CSS and LaTeX.
- Adding title pages, tables of contents, and cross-references.
Publishing and Collaboration
- Publishing R Markdown to Rpubs, GitHub, or personal websites.
- Collaborating on documents and managing version control.
- Adopting best practices for reproducible reporting.
Summary and Next Steps
Requirements
- A solid grasp of basic R syntax and core functions.
- Comfort with the RStudio development environment.
- General familiarity with data analysis workflows.
Target Audience
- Data analysts and data scientists.
- Researchers and academic professionals.
- Report writers and documentation specialists utilizing R.
14 Hours
Testimonials (3)
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
eleni - EUAA
Course - Forecasting with R
The real life applications using Statcan and CER as examples.
