https://github.com/3mmarand/setac-13-intro-to-r

https://github.com/3mmarand/setac-13-intro-to-r

Repository

https://github.com/3mmaRand/setac-13-intro-to-r/blob/main/

# SETAC Student Conference 2025: Introduction to Reproducibility with R




[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.15880793.svg)](https://zenodo.org/badge/DOI/10.5281/zenodo.15880793.svg)

 

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4.0](https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)




**Date:** 12 August 2025 12 August 2025\
**Instructor:** EmmaRand (University of York)\
**ORCID:** 0000-0002-1358-8275

## Overview

This repository contains all materials for the "Introduction to
Reproducibility with R" workshop delivered at the SETAC 13th Young
Environmental Scientists Meeting. In this one-day session, you will be able to:

-   Find their way around the RStudio windows
-   Create and plot data using ggplot
-   Explain the rationale for scripting analysis
-   Know how to load packages
-   Understand what is meant by the working directory, absolute and
    relative paths and be able to apply these concepts to data import
-   Summarise data in a single group or in multiple groups
-   Develop highly organised analyses including well-commented scripts
    that can be understood by future you and others

This workshop is designed for beginners with no prior experience in R or
RStudio. It is suitable for environmental scientists, ecologists, and
anyone interested in learning how to use R for reproducible research.

Materials are organised as Quarto (`.qmd`) website: [Introduction to Reproducibility with R](https://3mmarand.github.io/setac-13-intro-to-r/).


## Pre-course instructions for participants

You do not need any prior experience of R or RStudio.

There are Windows PCs at the venue and you are **not** required to bring
your own machine. Participants from outside of York will be provided
with a temporary IT account. However, if you prefer to work on your own
machine please install the following prior to attending: 

-   R version 4.4.1 or higher:
-   RStudio Version: 2024.12.1+563 or higher:
    
-   These R packages from CRAN: **`tidyverse`**,  **`devtools`**.
    Once you have installed R and RStudio, start RStudio up and 
    go to the Packages tab in the bottom right pane; click Install and 
    type the name of the package you want to install in the box that 
    appears. Then wait until you get the cursor (\>) back in the 
    console window.
-   TinyTeX:
    Once you have installed R and RStudio, start RStudio up and 
    go to the Terminal (lower left, behind the console) and type:
    `quarto install tinytex` and press enter.

## Workshop Sessions

1. Introduction & Principles

2. R & RStudio Basics

3. Data Manipulation (Optional)


## Citation Information

Please cite these materials if you adapt or redistribute any portion of of them:

Emma Rand. (2025). 3mmaRand/setac-13-intro-to-r: 2025 (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.15880793

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