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 Duration 14 hours

Course Outline

Introduction to R Markdown

  • Understanding R Markdown and its benefits
  • Installation and configuration within RStudio
  • Overview of the basic document structure

Managing Code Chunks

  • Creating and customizing 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
  • Inserting tables and images
  • Using LaTeX for mathematical notation

Output Formats and Rendering

  • Rendering to HTML, PDF, and Word
  • Configuring outputs via YAML headers
  • Navigating the knit process and resolving errors

Advanced Document Capabilities

  • Implementing parameterized reports
  • Adding conditional content and interactivity
  • Reusing content through child documents

Customization and Styling

  • Applying themes and templates
  • Developing custom styles using CSS and LaTeX
  • Designing title pages, table of contents, and cross-references

Publishing and Collaboration

  • Publishing to Rpubs, GitHub, or websites
  • Managing collaboration and version control
  • Adhering to best practices for reproducible reporting

Conclusion and Future Steps

Requirements

  • A solid grasp of basic R syntax and core 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 working with R

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