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Duration 14 hours
Course Outline
Introduction to R Markdown
- Understanding the concept of R Markdown and its practical advantages
- Setting up and configuring R Markdown within the RStudio environment
- Exploring the fundamental structure of an R Markdown document
Managing Code Chunks
- Constructing and refining code chunks for optimal performance
- Regulating output behavior and chunk execution settings
- Incorporating visual elements such as plots, tables, and inline R code
Text Formatting and Markdown Syntax
- Applying headings, lists, hyperlinks, and text emphasis
- Integrating tables and graphical images
- Incorporating mathematical notation using LaTeX
Output Formats and Rendering Processes
- Generating documents in HTML, PDF, and Word formats
- Utilizing YAML headers to dictate output characteristics
- Navigating the knitting process and resolving common errors
Advanced Document Capabilities
- Implementing parameterized reports for flexible data handling
- Developing conditional content and interactive documents
- Enhancing workflow by reusing content through child documents
Styling and Customization
- Applying professional themes and predefined templates
- Designing bespoke styles using CSS and LaTeX
- Structuring documents with title pages, tables of contents, and cross-references
Publishing Strategies and Collaboration
- Deploying R Markdown projects to Rpubs, GitHub, or corporate websites
- Facilitating collaborative work and managing version control
- Adopting best practices for maintaining reproducible reporting standards
Course Summary and Future Learning Paths
Requirements
- A solid grasp of fundamental R syntax and core functions
- Comfort with the RStudio development environment
- General proficiency in data analysis workflows
Target Audience
- Data analysts and data science professionals
- Academic researchers and university-affiliated professionals
- Technical writers and documentation specialists leveraging R
Testimonials (3)
I finally understood the idea of the pipes and how to use R in our work context.
Katrin Groth - Senatsverwaltung fur Bildung, Jugend und Familie
Course - Data Analytics With R
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
