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Course Outline
Introduction to R Markdown
- Overview of R Markdown and its benefits
- Installing and setting up R Markdown in RStudio
- The fundamental structure of an R Markdown document
Managing Code Chunks
- Creating and modifying code chunks
- Regulating output and chunk behavior
- Incorporating plots, tables, and inline R code
Text Formatting and Markdown Syntax
- Applying headings, lists, links, and emphasis
- Integrating tables and images
- Utilizing LaTeX for mathematical notation
Output Formats and Rendering
- Generating HTML, PDF, and Word outputs
- Using YAML headers to manage output settings
- Understanding the knit process and resolving errors
Advanced Document Capabilities
- Creating parameterized reports
- Implementing conditional content and interactive documents
- Reusing content via child documents
Customization and Styling
- Applying themes and templates
- Developing custom styles using CSS and LaTeX
- Adding title pages, tables of contents, and cross-references
Publishing and Collaboration
- Publishing R Markdown content to Rpubs, GitHub, or websites
- Collaborating on documents using version control
- Best practices for reproducible reporting
Summary and Next Steps
Requirements
- A solid grasp of fundamental R syntax and functions
- Experience with the RStudio environment
- General awareness of 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.
