reproresearchR

reproresearchR is the companion R package for the open educational resource Reproducible Research Using R by Christian Martinez. Version 0.1.2.

The package is designed to support learning and practicing reproducible research in R by providing:

• teaching datasets used throughout the textbook
• complete chapter materials for working alongside the textbook
• helper and completed R scripts for each chapter
• editable Quarto chapter files for annotation and experimentation
• a bridge between learning R and applying reproducible workflows in real projects

This package is especially useful for students, instructors, and self-learners who want a structured way to practice transparent, organized, and repeatable analysis.

Users are encouraged to take the resources provided in this package and edit, personalize, experiment with, and even break them!

Remember: That’s why they put erasers on pencils!

Companion Textbook

This package accompanies:

Martinez (2026), Reproducible Research Using R

https://martinezc1-reproducible-research-using-r.share.connect.posit.cloud/

https://doi.org/10.5281/zenodo.19136755

Installation

Install the development version from GitHub:

# install.packages("remotes")
remotes::install_github("martinezc1/reproresearchR")

Install the released version from CRAN:

install.packages("reproresearchR")

Then load the package:

library(reproresearchR)

What is included?

The package includes:

• teaching datasets for practice and examples
• editable Quarto (.qmd) files corresponding to textbook chapters
• helper R scripts designed for following along with chapter material
• completed R scripts that can be used as references
• functions for discovering and copying chapter materials into an R project

Included datasets

The package includes teaching datasets used throughout the textbook, such as:

• exam_data
• infection_treatments
• pizza_prices

Working with chapter materials

The recommended way to use reproresearchR is to create an RStudio Project for your work and load the package within that project.

To see the chapters available in the package:

list_chapters()

When you are ready to work through a chapter, use chapter_materials():

chapter_materials(2)

This creates a folder for the selected chapter in your current working directory. For example:

chapter02/
├── 02-Introduction-To-tidyverse.qmd
├── chapter02_helper.R
└── chapter02_full.R

Each chapter folder contains:

• Chapter: an editable Quarto version of the textbook chapter that can be annotated, modified, and rendered locally.
• Helper: a scaffolded R script for following along and practicing the chapter material.
• Full: a completed R script that can be used as a reference.

Additional chapters can be added to the same project as you progress through the textbook:

chapter_materials(3)
chapter_materials(4)

This allows you to gradually build an organized collection of chapter materials within a single R project.

Users are encouraged to code alongside each chapter using the helper script. If you get stuck, the full script is available as a reference.

Why this package?

reproresearchR was built to make reproducible research more approachable and practical. Rather than learning workflows in the abstract, users work directly with datasets, code, and editable chapter materials tied to a complete textbook and teaching framework.

The goal is to help learners build habits that support:

• organized project structure
• transparent analysis
• reproducible code
• clear documentation
• experimentation and annotation
• shareable research outputs

Authors & Contributors

Christian A. Martinez 📧 c.martinez0@outlook.com
GitHub: @martinezc1