Course Overview

In this course, we teach students techniques for scaling up their analyses. How do you get R to repeat tasks in an efficient way? This general skill is needed in diverse contexts, such as processing lots of files (e.g. from imaging or surveys), working with large datasets, or simulations (statistical or individual-based).

In these circumstances, 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. We'll introduce a series of powerful tools, all which take a bit of instruction and practice to master.

Course outline

This course will cover topics including:

Advanced data processing with tidyverse, including dplyr, joins, nests
Functional programming with purrr
For loops
Writing your own functions

Presenters and Expertise: A/Professor Daniel Falster and A/Professor Will Cornwell, School of Biological, Earth & Environmental Sciences (BEES)

Course Requirements: Own laptop with R (4.2 or newer) and Rstudio installed.

Course Prerequisites: Intermediate R users (have been using R for at least 6 months, comfortable loading data, using basic ggplot and dplyr)

Date: Wednesday 24 and Thursday 25 July 2024

Duration: 9.00am - 4.00pm, each day

Location: Wallace Wurth Building (C27), this course will be delivered In Person only!

You will receive a certificate of completion for the course.

Note: If you have a funding support and would like to pay by "Internal Funding Payment", please contact us stats.central@unsw.edu.au

FAQs

How can I contact the organiser with any questions?

Please send us an email at: stats.central@unsw.edu.au

Short Course: Intermediate R

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