Virtual workshop — R Markdown for creating reproducible reports

Remote workshop
May 4, 2026

Workshop Information

Title
Virtual workshop — R Markdown for creating reproducible reports
Duration
2
Hours

Date: May 4 — 24, 2026 (3 weeks)

 

Contact hours: 1.5 hours

Resource: Francisco Pesante González, PhD. Statistical Project Manager, Statistics Institute of Puerto Rico

 

Prerequisites:

- Basic knowledge of statistics

- R and RStudio management

- Internet connection

- Computer

-- 2 GB RAM (or more)

-- 1 GB memory

-- Administrator privileges to install R-4.5.1 (or newer).

-- Operating Systems: Windows 10/11 64-bit or MacOS 10.15+

 

Description

The use of the R program, the Integrated development environment (IDE) RStudio, the markdown language and the knitr package, are added together to generate the R Markdown document format. This tool allows the R codes used for data arrangement, statistical analysis and presentation of findings to be integrated into working documents. This integration facilitates the generation of documents in multiple digital formats (pdf, html, MSWord, PowerPoint, among others), in addition to including elements that facilitate the reproducibility of the research; a useful aspect both for the author and for the users of the document.

 

Objectives

Train participants in the effective use of R Markdown as a comprehensive tool for generating reproducible reports and documents, combining narratives, data analysis and visualizations in a coherent and efficient workflow.

 

Goals

· Learn what R Markdown is

· Install the R program and the RStudio IDE

· Know the basic aspects that differentiate the markdown language from the html language

· Learn the principles of manipulating document formatting

· Edit the Chunks of Knitr and render

· Integrate automated functions

· Generate reports in multiple formats

 

Electronic references

- The Comprehensive R ArchiveNetwork https://cran.r-project.org/

- Gil Bellosta, C. (2023). R for data professionals: an introduction https://www.datanalytics.com/libro_r/

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