Plotting in R for Animal Science Workshop

Preface

This online ‘book’ contains a crash-course for animal scientists wanting to efficiently visualise their data, and is designed to accompany an in-person workshop. Therefore, not all of the basics of using R are written here. There are many, better, resources for learning R properly.

This book also does not cover statistics, but focuses on data wrangling and plotting.

The techniques presented throughout are designed to encourage the reproducibility of work. By keeping well-document codes that do something to our data, we can easily re-create our scientific outputs from the original, raw data.

Course outline:

9:00 to 12:00	Intro to visualisations Intro to RStudio and R Data wrangling Summarising data Creating your first plot Customising your first plot
12:00 to 13:00	Lunch break
13:00 to 16:00	Practice different plot types: Histograms Continuous y-axis with treatment on x-axis: Box plots Violin plots Bar/column plots with error bars Continuous x- and y-axis: Scatter plots and trend lines Saving publication-ready plots Create your own plots from own data Intro to more advanced plotting techniques: Using functions to automate plotting Interactive plots Correlations Heatmaps Principal Component Analysis

Key resources

• https://r4ds.hadley.nz/
• https://r-graphics.org/index.html
• https://r-graph-gallery.com/index.html
• https://ourcodingclub.github.io/tutorials.html
• https://exts.ggplot2.tidyverse.org/gallery/