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Course Outline
Introduction to R Markdown
- Understanding R Markdown and its benefits
- Installation and configuration of R Markdown in RStudio
- The fundamental structure of an R Markdown document
Managing Code Chunks
- Creation and customization of code chunks
- Controlling output and chunk behavior
- Integrating plots, tables, and inline R code
Text Formatting and Markdown Syntax
- Using headings, lists, links, and emphasis
- Incorporating tables and images
- Applying mathematical notation with LaTeX
Output Formats and Rendering
- Rendering to HTML, PDF, and Word
- Utilizing YAML headers to manage output
- Navigating the knit process and resolving errors
Advanced Document Features
- Implementing parameterized reports
- Conditional content and interactive documents
- Content reuse via child documents
Customization and Styling
- Applying themes and templates
- Developing custom styles with CSS and LaTeX
- Adding title pages, table of contents, and cross-references
Publishing and Collaboration
- Sharing R Markdown on Rpubs, GitHub, or websites
- Collaborating on documents and managing version control
- Best practices for reproducible reporting
Summary and Future Steps
Requirements
- A solid grasp of basic R syntax and functions
- Familiarity with the RStudio environment
- General understanding 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.
