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<!DOCTYPE html>
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<head>
<title>An Introduction to Reproducible Analyses in R</title>
<meta charset="utf-8" />
<meta name="author" content="Emma Rand" />
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class: center, middle, inverse, title-slide
.title[
# An Introduction to Reproducible Analyses in R
]
.subtitle[
## White Rose BBSRC DTP Training
]
.author[
### Emma Rand
]
.institute[
### University of York, UK
]
---
# Module Index
1. [Introduction and Principles of reproducibility](slides/01_intro_and_principles_of_repro.html)
2. [Introduction to R and working with data](slides/02_intro_to_r_and_working_with_data.html)
3. [Project-oriented workflow](slides/03_rstudio_projects.html)
4. [Tidying data and the tidyverse including the pipe](slides/04_tidying_data_and_the_tidyverse.html)
5. [Advanced data import](slides/05_advanced_data_import.html)
6. [Quarto for Reproducible Reports](....)
---
# Introduction to Reproducibility in R
## Materials
<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" /></a><br /><span xmlns:dct="http://purl.org/dc/terms/" property="dct:title">White Rose BBSRC Doctoral Training Partnership (DTP) in Mechanistic Biology Analytics 1: Introduction to reproducible analyses in R</span> by <span xmlns:cc="http://creativecommons.org/ns#" property="cc:attributionName">Emma Rand</span> is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.
Please cite as:
Rand E. (2023). White Rose BBSRC DTP Training: An Introduction to Reproducible Analyses in R (version v1.2). DOI: https://doi.org/10.5281/zenodo.3859818 URL: https://github.com/3mmaRand/pgr_reproducibility
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