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Course Outline
Introduction to R Markdown
- Understanding what R Markdown is and the value it brings to your workflow.
- Steps for installing and configuring R Markdown within RStudio.
- An overview of the basic architecture of an R Markdown document.
Managing Code Chunks
- Techniques for creating and customizing code chunks.
- Methods for controlling output visibility and chunk behavior.
- Incorporating plots, tables, and inline R code into your documents.
Text Formatting and Markdown Syntax
- Using headings, lists, hyperlinks, and text emphasis.
- Integrating tables and images effectively.
- Adding mathematical notation using LaTeX.
Output Formats and Rendering
- Processes for rendering documents to HTML, PDF, and Word.
- Utilizing YAML headers to manage output settings.
- Understanding the knitting process and strategies for troubleshooting common errors.
Advanced Document Capabilities
- Implementing parameterized reports for flexibility.
- Building conditional content and interactive documents.
- Efficiently reusing content through child documents.
Customization and Styling
- Selecting and applying themes and templates.
- Developing custom styles using CSS and LaTeX.
- Designing title pages, tables of contents, and cross-references.
Publishing and Collaboration
- Sharing R Markdown documents via Rpubs, GitHub, or personal websites.
- Collaborating on documents and managing version control.
- Adopting best practices for maintaining reproducible reporting standards.
Summary and Future Directions
Requirements
- A solid grasp of basic R syntax and core functions.
- Working familiarity with the RStudio development environment.
- General understanding of standard data analysis workflows.
Target Audience
- Data analysts and data scientists.
- Researchers and academic professionals.
- Report writers and documentation specialists who utilize 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.
