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Course Outline

Introduction to R Markdown

  • Understanding what R Markdown is and its benefits
  • Installing and configuring R Markdown within RStudio
  • Examining the basic structure of an R Markdown document

Working with Code Chunks

  • Creating and customizing code chunks for execution
  • Managing output visibility and chunk behavior
  • Embedding visualizations, tables, and inline R code

Text Formatting and Markdown Syntax

  • Applying headings, lists, links, and emphasis markers
  • Integrating tables and images
  • Incorporating mathematical notation using LaTeX

Output Formats and Rendering

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

Advanced Document Features

  • Developing parameterized reports
  • Implementing conditional content and interactive elements
  • Reusing content across documents via child documents

Customization and Styling

  • Applying built-in themes and custom templates
  • Creating bespoke styles using CSS and LaTeX
  • Configuring title pages, tables of contents, and cross-references

Publishing and Collaboration

  • Publishing R Markdown content to Rpubs, GitHub, or corporate websites
  • Collaborating on documents using version control systems
  • Adhering to best practices for reproducible reporting

Summary and Next Steps

Requirements

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

Target Audience

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

Number of participants


Price per participant

Open Training Courses require 5+ participants.

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

Provisional Upcoming Courses (Require 5+ participants)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-10-06 09:30
14 hours
Melbourne 385 Bourke Street
4700 AUD (Online)
11300 AUD (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-10-20 09:30
14 hours
Cliftons Perth
4700 AUD (Online)
11900 AUD (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-03 09:30
14 hours
Sydney King Street
4700 AUD (Online)
11300 AUD (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-17 09:30
14 hours
London Circuit
4700 AUD (Online)
11300 AUD (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-12-01 09:30
14 hours
200 Mary Street, Brisbane
4700 AUD (Online)
11300 AUD (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-12-15 09:30
14 hours
Adelaide City Central
4700 AUD (Online)
11300 AUD (Classroom)

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