This repository contains content for a 4-day course for new PHD students (and other interesting people), run within the School of Biological, Earth & Environmental Sciences (BEES) at the University of New South Wales.
Details for this session are as follows:
- Dates: Monday 04 February to Thursday 07 February (9.00am to 5.00pm)
- Audience: New Honours or HDR students in BEES
- Venue: BEES Teaching Lab 3, Ground Floor E26
- What to bring: your laptop
- Presenters
- Daniel Falster (BEES)
- Will Cornwell (BEES)
- Ben Maslen (Stats Central)
- Gordana Popovic (Stats Central)
- Demonstrators:
- Dony Indiarto
- Sally Crane
- John Wilshire
Getting started with R
- Introduction to Rstudio
- Introduction to coding in R
- Getting data in and out of R - R objects and classes
- Packages
Project management
- Projects: Organising and managing data - Reproducible research with Rmarkdown Data manipulation & visualisation with the tidyverse
- Data manipulation with the tidyverse - Data visualisation with ggplot
Introduction to statistics
- Which method do you use when? - Statistical inference
- Two-sample t-test
Introduction to Experimental design
- Sample sizes
- Treatments
Linear regression
- Linear regression
- Equivalence of two-sample t and linear regression
Linear models
- Multiple regression
- Analysis of variance (and equivalence to multiple regression)
Weirder linear models
- Blocked and paired designs - ANCOVA
- Factorial experiments
- Interactions in regression
The course assumes you have the R software and the development environment RStudio installed on your computer.
R can be downloaded here.
The Desktop version of RStudio can be downloaded here.
Notes for Instructors are included within the file Instructor.md.