Enough R to write a thesis
From raw data to finished thesis
The biostats books, apps, and tutorials are written to give you enough skills to write a thesis.
The books emphasis reproducible research.
Biostats books
Working in R
Learn how to import, manipulate and visualise data with our working in R book. After an introduction to R, this book has a tidyverse flavour, showing how to manipulate data with dplyr
and make publishable plots with ggplot2
. It includes lots of exercises to hone your skills.
Statistics in R
Coming soon!
Reproducible documents with R
Learn how to write reproducible documents (anything from a course assignment to a thesis or manuscript) in quarto: no more copy-paste nightmares. Quarto is the successor to R markdown (our earlier R markdown book is here). All the biostats books were written in R markdown or quarto; you can see the source code in our repo on GitHub.
Git and GitHub
Learn how to use version control with our step-by-step guide to setting up and using git and GitHub in RStudio.
Writing an R package
Want to make your code into an R package? Our guide to writing an R package will show you how.
Biostats apps and tutorials
We have developed interactive learnr
tutorials for
- naming objects
- dates and times
- string manipulation
and shiny apps to explore some statistical concepts.
These can be installed from biostats apps and learnr
tutorials with
The Biostats team
These books are a collaboration between the Department of Biological Sciences, University of Bergen and the Department of Mathematical Sciences, University of Trondheim.
- Dr Aud Halbritter
- Dr Josh Lynn
- Dr Emily G. Simmonds
- Dr Jonathan Soule
- Dr Richard J. Telford
This is BioCeed product.