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

This repository contains content for a 2 day course for HDR students (and other interesting people), run within the School of Biological, Earth & Environmental Sciences (BEES) 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 organize 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 organized and efficient manner. There are lots of new powerful tools, but they take a bit of coding practice to learn.

Monday 24 May = for loops & purrr Tuesday 25 May = 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")

Location: GO7 CATS ROOM - Computer lab

Overview

Day 1

• Outline of course, logistics, housekeeping - Daniel
• Intro to for loops - Will
• Tidyverse refresh - Fonti + Daniel
  • Pipes
  • dplyr
• Vectorised functions - Daniel
• purrr (map, map2 and variants) - Aniko

Day 2

• Gapminder intro - Will
• Structure of a function - Fonti
• Using own functions with map - Daniel
• Anonymous functions in map - Aniko
• Longer functions - Will