# 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.