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Course Outline

Foundations of R Markdown

  • Understanding R Markdown and its benefits
  • Installation and configuration of R Markdown within RStudio
  • The essential structure of an R Markdown document

Managing Code Chunks

  • Creating and tailoring code chunks
  • Regulating output and chunk execution behavior
  • Incorporating plots, tables, and inline R expressions

Text Formatting and Markdown Conventions

  • Structuring headings, lists, links, and emphasis
  • Integrating tables and images
  • Utilizing LaTeX for mathematical notation

Output Formats and Rendering Process

  • Generating HTML, PDF, and Word documents
  • Configuring output parameters via YAML headers
  • Navigating the knitting process and resolving common errors

Advanced Document Capabilities

  • Implementing parameterized reports
  • Building conditional content and interactive documents
  • Reusing sections through child documents

Customization and Visual Styling

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

Publishing and Collaborative Workflows

  • Distributing R Markdown via Rpubs, GitHub, or web platforms
  • Managing collaboration and version control for documents
  • Adopting best practices for reproducible reporting

Wrap-up and Further Learning

Requirements

  • A solid grasp of fundamental R syntax and core functions
  • Working familiarity with the RStudio development environment
  • General understanding of standard data analysis workflows

Intended Audience

  • Data analysts and data scientists
  • Researchers and academic professionals
  • Report writers and documentation specialists working with R
 14 Hours

Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793

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.

Matthew - Natural Resources Canada
Course - Data Analytics With R

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