The UNSW School of Biological, Earth & Environmental Sciences & Stats Central introduction to data manipulation and visualisation in R (INTERMEDIATE)

This repository contains content for a 2-day course for HDR students (and other interesting people), run jointly by the School of Biological, Earth & Environmental Sciences (BEES) and Stats Central at the University of New South Wales.

Aims & Content

Broad theme: Scaling up your analyses: how to get R to repeat the same task many times (possibly with different inputs) and organise the output in a useful way.

This general coding skill could apply to processing lots of files from imaging or surveys or to simulations (statistical or individual-based) or to lots of observational data. In general with medium-sized data projects you'll often find yourself having to repeat the same thing over and over, and it's good to learn how to get R to do this in an organised and efficient manner. There are lots of new powerful tools, but they take a bit of coding practice to learn.

Day 1 = for loops, tidyverse, purrr Day 2 = writing your own functions

Installation instructions

The course assumes you have the R software and the development environment RStudio installed on your computer.

Install: tidyverse

install.packages("devtools")
install.packages("broom")
install.packages("tidyverse")

Overview

Day 1

• Outline of course, logistics, housekeeping
• Intro to for loops
• Tidyverse refresh & extension
  • Pipes
  • dplyr
• Vectorised functions
• purrr (map, map2 and variants)

Day 2

• Structure of a function
• Using own functions with map
• Anonymous functions in map
• Nest workflow
• Longer functions