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Course Outline
Introduction to R Markdown
- Understanding R Markdown and its benefits.
- Installation and configuration within RStudio.
- Examining the basic structure of an R Markdown document.
Working with Code Chunks
- Creating and customizing code chunks.
- Managing output and controlling chunk behavior.
- Integrating plots, tables, and inline R code.
Text Formatting and Markdown Syntax
- Applying headings, lists, links, and text emphasis.
- Incorporating tables and images.
- Utilizing LaTeX for mathematical notation.
Output Formats and Rendering
- Rendering documents to HTML, PDF, and Word.
- Using YAML headers to dictate output settings.
- Navigating the knit process and troubleshooting common errors.
Advanced Document Features
- Implementing parameterized reports.
- Building conditional content and interactive documents.
- 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 R Markdown documents to Rpubs, GitHub, or custom websites.
- Collaborating on documents and utilizing version control.
- Adhering to best practices for reproducible reporting.
Summary and Next Steps
Requirements
- Proficiency in basic R syntax and core functions.
- Comfort with the RStudio development environment.
- Foundational knowledge of data analysis workflows.
Target Audience
- Data analysts and data scientists.
- Researchers and academic professionals.
- Report writers and documentation specialists working with 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.
