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Course Outline
Introduction to R Markdown
- Understanding the core concepts and benefits of R Markdown.
- Setting up and configuring the R Markdown environment within RStudio.
- Examining the fundamental structure of an R Markdown file.
Managing Code Chunks
- Defining, creating, and customizing code chunks.
- Regulating output behavior and execution settings for chunks.
- Incorporating visual elements such as plots, tables, and inline R expressions.
Text Formatting and Syntax
- Structuring content with headings, lists, hyperlinks, and emphasis.
- Integrating data tables and graphical images.
- Utilizing LaTeX for mathematical notation.
Output Management and Rendering
- Converting documents to HTML, PDF, and Word formats.
- Leveraging YAML metadata to define rendering options.
- Navigating the knitting process and resolving common errors.
Advanced Documentation Techniques
- Building parameterized reports for flexible data input.
- Implementing conditional logic and interactivity within documents.
- Modularizing content through the use of child documents.
Styling and Customization
- Applying pre-defined themes and templates.
- Developing bespoke styles using CSS and LaTeX.
- Adding structural elements like title pages, tables of contents, and cross-references.
Publishing and Team Collaboration
- Distributing R Markdown content via Rpubs, GitHub, or corporate websites.
- Collaborating on documents and managing version control.
- Adopting best practices for maintaining reproducible reporting standards.
Course Summary and Future Directions
Requirements
- An understanding of basic R syntax and functions
- Familiarity with RStudio environment
- General knowledge of data analysis workflows
Audience
- Data analysts and data scientists
- Researchers and academic professionals
- Report writers and documentation specialists using 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.
