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Course Outline

Introduction to R Markdown

  • Overview of R Markdown and its advantages
  • Installation and configuration within RStudio
  • Basic architecture of an R Markdown document

Utilizing Code Chunks

  • Building and customizing code chunks
  • Managing output and chunk execution behavior
  • Incorporating plots, tables, and inline R code

Text Formatting and Markdown Syntax

  • Structuring content with headings, lists, links, and emphasis
  • Including tables and images
  • Using LaTeX for mathematical notation

Output Formats and Rendering

  • Generating HTML, PDF, and Word documents
  • Controlling output via YAML headers
  • Understanding the knit process and resolving common errors

Advanced Document Features

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

Customization and Styling

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

Publishing and Collaboration

  • Publishing to Rpubs, GitHub, or personal websites
  • Collaborating on documents and managing version control
  • Best practices for reproducible reporting

Summary and Future Directions

Requirements

  • Foundational knowledge of R syntax and core functions
  • Basic familiarity with the RStudio interface
  • General understanding of 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

Upcoming Courses

R Markdown for Dynamic Documents and Reproducible Reporting

2026-10-19 09:30
14 hours
Empire Tower
63214 THB (Online)
63214 THB (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-02 09:30
14 hours
Empire Tower
63214 THB (Online)
63214 THB (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-16 09:30
14 hours
Empire Tower
63214 THB (Online)
63214 THB (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-30 09:30
14 hours
Empire Tower
63214 THB (Online)
63214 THB (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-12-14 09:30
14 hours
Empire Tower
63214 THB (Online)
63214 THB (Classroom)

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