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Course Outline

Introduction to R Markdown

  • Understanding R Markdown and its strategic advantages
  • Installation and configuration of R Markdown within RStudio
  • Exploring the basic structure of an R Markdown document

Managing Code Chunks

  • Creating and customizing R code chunks
  • Controlling output behavior and chunk execution
  • Integrating plots, tables, and inline R code

Text Formatting and Markdown Syntax

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

Output Formats and Rendering

  • Generating HTML, PDF, and Word documents
  • Managing output settings via YAML headers
  • Navigating the knit process and troubleshooting common errors

Advanced Document Capabilities

  • Building parameterized reports
  • Implementing conditional content and interactive elements
  • 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

  • Distributing R Markdown via Rpubs, GitHub, or corporate websites
  • Managing document collaboration and version control
  • Adopting best practices for reproducible reporting

Summary and Next Steps

Requirements

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

Target Audience

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

2026-10-27 09:30
14 hours
Iasi, City Center
495 EUR (Online)
895 EUR (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-10 09:30
14 hours
Bucharest, City Center
495 EUR (Online)
895 EUR (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-24 09:30
14 hours
ActiveOne Bucharest
495 EUR (Online)
895 EUR (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-12-08 09:30
14 hours
Brasov, Calea Bucuresti Street
495 EUR (Online)
895 EUR (Classroom)

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