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