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Course Outline

Introduction to R Markdown

  • Understanding R Markdown: what it is and why it is valuable.
  • Installing and configuring R Markdown within RStudio.
  • The basic structure of an R Markdown document.

Working with Code Chunks

  • Creating and customizing code chunks.
  • Controlling output and managing chunk behavior.
  • Embedding plots, tables, and inline R code.

Text Formatting and Markdown Syntax

  • Applying headings, lists, links, and emphasis.
  • Including tables and images.
  • Using LaTeX for mathematical notation.

Output Formats and Rendering

  • Rendering documents to HTML, PDF, and Word.
  • Utilizing YAML headers to manage output settings.
  • Understanding the knitting process and troubleshooting common errors.

Advanced Document Features

  • Creating parameterized reports.
  • Implementing conditional content and interactive documents.
  • Reusing content via child documents.

Customization and Styling

  • Applying themes and templates.
  • Designing custom styles using CSS and LaTeX.
  • Incorporating title pages, tables of contents, and cross-references.

Publishing and Collaboration

  • Publishing R Markdown content to Rpubs, GitHub, or websites.
  • Collaborating on documents and managing version control.
  • Best practices for maintaining reproducible reporting.

Summary and Next Steps

Requirements

  • A solid grasp of basic R syntax and core functions.
  • Working familiarity with the RStudio environment.
  • General knowledge of data analysis workflows.

Target Audience

  • Data analysts and data scientists.
  • Researchers and academic professionals.
  • Report writers and documentation specialists who utilize R.
 14 Hours

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  • Format: Online (live), In-company (at your offices), or Hybrid.
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