Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to R Markdown
- Understanding what R Markdown is 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.
- Managing output and controlling chunk behavior.
- Embedding plots, tables, and inline R code.
Text Formatting and Markdown Syntax
- Utilizing headings, lists, links, and emphasis.
- Incorporating tables and images.
- Applying mathematical notation with LaTeX.
Output Formats and Rendering
- Rendering documents to HTML, PDF, and Word.
- Controlling output via YAML headers.
- Understanding the knitting process and troubleshooting errors.
Advanced Document Features
- Developing parameterized reports.
- Incorporating conditional content and interactive elements.
- Reusing content through child documents.
Customization and Styling
- Applying themes and templates.
- Designing custom styles using CSS and LaTeX.
- Creating title pages, tables of contents, and cross-references.
Publishing and Collaboration
- Publishing R Markdown documents to Rpubs, GitHub, or websites.
- Collaborating on documents and managing version control.
- Adopting best practices for reproducible reporting.
Summary and Next Steps
Requirements
- Understanding of basic R syntax and functions.
- Familiarity with the RStudio environment.
- General knowledge of data analysis workflows.
Audience
- Data analysts and data scientists.
- Researchers and academic professionals.
- Report writers and documentation specialists utilizing 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.
