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Course Outline

Introduction to R Markdown

  • Overview of R Markdown and its key benefits
  • Installation and configuration within RStudio
  • Understanding the fundamental structure of R Markdown documents

Working with Code Chunks

  • Creating and refining code chunks
  • Managing output and chunk behavior
  • Incorporating plots, tables, and inline R code

Text Formatting and Markdown Syntax

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

Output Formats and Rendering

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

Advanced Document Features

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

Customization and Styling

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

Publishing and Collaboration

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

Summary and Next Steps

Requirements

  • A solid grasp of basic R syntax and core functions
  • Comfort with the RStudio development environment
  • A general understanding 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
Leon - Torre San Mateo
76,413 MXN (Online)
96,413 MXN (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-10 09:30
14 hours
Tuxtla Gutiérrez - Santa Elena
76,413 MXN (Online)
96,413 MXN (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-24 09:30
14 hours
Ciudad Juárez - Bulevar Tomás Fernández
76,413 MXN (Online)
96,413 MXN (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-12-08 09:30
14 hours
Toluca - La Merced
76,413 MXN (Online)
96,413 MXN (Classroom)

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