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Course Outline

Introduction to R Markdown

  • Defining R Markdown and understanding its utility.
  • Steps for installing and configuring R Markdown within RStudio.
  • An overview of the basic structure of an R Markdown document.

Working with Code Chunks

  • Methods for creating and customizing code chunks.
  • Techniques for controlling output and chunk behavior.
  • Integrating plots, tables, and inline R code.

Text Formatting and Markdown Syntax

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

Output Formats and Rendering

  • Processes for rendering documents to HTML, PDF, and Word.
  • Utilizing YAML headers to manage output settings.
  • Understanding the knit process and troubleshooting common errors.

Advanced Document Features

  • Implementation of parameterized reports.
  • Managing conditional content and creating interactive documents.
  • Reusing content efficiently with child documents.

Customization and Styling

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

Publishing and Collaboration

  • Publishing R Markdown documents to Rpubs, GitHub, or corporate websites.
  • Facilitating collaboration and version control for documents.
  • Adopting best practices for 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 standard 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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