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Course Outline
Introduction to R Markdown
- Overview of R Markdown and its benefits
- Installation and configuration within RStudio
- The fundamental 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 emphasis
- Incorporating tables and images
- Using LaTeX for mathematical notation
Output Formats and Rendering
- Rendering documents to HTML, PDF, and Word
- Utilizing YAML headers to manage output settings
- Understanding the knit process and resolving errors
Advanced Document Features
- Building parameterized reports
- Implementing conditional content and interactive documents
- Reusing content through child documents
Customization and Styling
- Applying themes and templates
- Developing custom styles with CSS and LaTeX
- Adding title pages, tables of contents, and cross-references
Publishing and Collaboration
- Sharing R Markdown via Rpubs, GitHub, or personal websites
- Collaborating on documents and managing version control
- Best practices for ensuring reproducible reporting
Summary and Next Steps
Requirements
- A solid grasp 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 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.
