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Course Outline

Foundations of R Markdown

  • Understanding R Markdown and its benefits for reproducibility
  • Installation and configuration of R Markdown within RStudio
  • Examining the basic architectural components of an R Markdown document

Managing Code Chunks

  • Developing and customizing code chunks for specific tasks
  • Regulating output display and chunk execution behavior
  • Incorporating visual elements such as plots, tables, and inline R code

Text Formatting and Markdown Syntax

  • Structuring content with headings, lists, links, and text emphasis
  • Integrating tables and imagery effectively
  • Utilizing LaTeX for mathematical notation

Output Rendering and Formats

  • Generating outputs in HTML, PDF, and Word formats
  • Leveraging YAML headers to dictate output properties
  • Navigating the knitting process and resolving common rendering errors

Advanced Documentation Features

  • Implementing parameterized reports for flexibility
  • Creating conditional content and interactive document elements
  • Reusing content segments via child documents

Styling and Customization

  • Applying predefined themes and custom templates
  • Designing bespoke styles using CSS and LaTeX
  • Configuring title pages, table of contents, and internal cross-references

Publishing and Team Collaboration

  • Distributing R Markdown documents via Rpubs, GitHub, or corporate websites
  • Facilitating collaborative editing and managing version control
  • Adhering to best practices for ensuring reproducible reporting

Summary and Future Directions

Requirements

  • A solid grasp of fundamental R syntax and core functions
  • Proficiency with the RStudio integrated development environment
  • A general understanding of data analysis workflows

Target Audience

  • Data analysts and data science professionals
  • Researchers and academic specialists
  • Report writers and technical documentation experts 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

2026-10-15 09:30
14 hours
Bratislava CBC
770 EUR (Online)
1170 EUR (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-10-29 09:30
14 hours
Bratislava CBC
770 EUR (Online)
1170 EUR (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-12 09:30
14 hours
Bratislava CBC
770 EUR (Online)
1170 EUR (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-26 09:30
14 hours
Bratislava CBC
770 EUR (Online)
1170 EUR (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-12-10 09:30
14 hours
Bratislava CBC
770 EUR (Online)
1170 EUR (Classroom)

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