Package {reproresearchR}

Type: Package
Title: Companion Package for 'Reproducible Research Using R'
Version: 0.1.2
Description: Provides teaching datasets and helper functions to support the open educational resource Martinez (2026) "Reproducible Research Using R" <doi:10.5281/zenodo.19136755>. The package includes datasets used throughout the book and utilities to list and copy chapter scripts shipped with the package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (≥ 3.5.0)
Suggests: rstudioapi
URL: https://martinezc1-reproducible-research-using-r.share.connect.posit.cloud/, https://github.com/martinezc1/reproresearchR, https://martinezc1.github.io/reproresearchR/
BugReports: https://github.com/martinezc1/reproresearchR/issues
Config/roxygen2/version: 8.1.0
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-09-07 00:48:59 UTC; christianmartinez
Author: Christian Martinez ORCID iD [aut, cre] (GitHub: martinezc1)
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-07 02:30:02 UTC

Copy Chapter Materials

Description

Copies all learning materials associated with a textbook chapter into a local folder. This includes the chapter Quarto file, helper script, and completed script.

Usage

chapter_materials(chapter, path = ".", overwrite = FALSE)

Arguments

chapter

Chapter number.

path

Directory where the chapter folder should be created. Defaults to the current working directory.

overwrite

Logical. Should existing files be overwritten? Defaults to FALSE.

Value

Invisibly returns the paths to the copied files.

Examples

## Not run: 
chapter_materials(1)
chapter_materials(4)
chapter_materials(4, path = "course-materials")

## End(Not run)

Copy or run a textbook chapter script

Description

'chapter_script()' is deprecated. Use [chapter_materials()] instead to copy the complete set of materials associated with a textbook chapter.

This function is retained for backward compatibility with existing code.

Usage

chapter_script(
  chapter,
  type = c("full", "helper"),
  dest,
  run = FALSE,
  overwrite = FALSE,
  open = FALSE
)

Arguments

chapter

Chapter number (e.g., 1, 2, 3).

type

Script type: "full" or "helper".

dest

Directory to copy the script into.

run

If TRUE, source() the script after copying.

overwrite

If TRUE, overwrite an existing file.

open

If TRUE, attempt to open the copied script in RStudio.

Value

Path to the copied script (invisibly if run = TRUE).

Examples

## Not run: 
tmp <- tempdir()
chapter_script(3, "helper", dest = tmp, overwrite = TRUE)

## End(Not run)

Exam data dataset

Description

A teaching dataset used in *Reproducible Research Using R*. This dataset is used for examples involving descriptive statistics, visualization, correlation, and regression.

Usage

exam_data

Format

A data frame with 100 rows and 5 variables:

Student Name

Student identifier.

Studying Hours

Number of hours spent studying.

Exam Score

Exam score.

Anxiety Score

Self-reported anxiety score.

First Generation College Student

Whether the student is a first-generation college student (Yes/No).

Source

Created for the textbook *Reproducible Research Using R*.

Infection treatments dataset

Description

A teaching dataset used in *Reproducible Research Using R*. This dataset is used for examples involving categorical data analysis and group comparisons.

Usage

infection_treatments

Format

A data frame with 150 rows and 2 variables:

Infection

Type of infection.

Treatment

Treatment administered.

Source

Created for the textbook *Reproducible Research Using R*.

List Available Chapters

Description

Lists textbook chapters and the learning materials available for each chapter, including the Quarto chapter file, helper script, and completed script.

Usage

list_chapters()

Value

A data frame describing the available chapter materials.

Examples

list_chapters()

Pizza prices dataset

Description

A teaching dataset used in *Reproducible Research Using R*. This dataset is primarily used for examples involving data visualization and linear regression.

Usage

pizza_prices

Format

A data frame with 156 rows and 3 variables:

Week

Week number of observation.

Total Volume

Total number of pizzas sold in that week.

Total Price

Total revenue generated from pizza sales in that week.

Source

Created for the textbook *Reproducible Research Using R*.