Friday 16 February 2024
Introduction to R will cover the use of the open source programming language R (and RStudio) for data manipulation, simple data analysis, and graphing. This version of the course uses Tidyverse functions to illustrate data manipulation and graphing with dplyr and ggplot2. All practical exercises are illustrated using data from health sciences studies.
- R basics and RStudio
- Data importing, organising and manipulating (with Tidyverse)
- Exploratory data analysis and simple regression models
- Graphics and data visualisation (with ggplotw)
Computer lab – hands-on course combining taught overview, hints on programming practices, and practical exercises. Course attendance is limited to 18 participants.
The course is intended for individuals who would like to become more comfortable with the R environment for research/study purposes. Basic knowledge of biostatistics is required for the course (e.g. confidence intervals, hypothesis testing) as the focus is on R rather than statistics. Some brief experience in R or another statistics package using programming commands (e.g. Stata, SAS) may be useful but is not presumed. The practicals will be completed using Windows but the material also applies to people running R on a Mac or Linux system.
|8.30am||Registration and Coffee|
|9:.00am||R & RStudio orientation and getting started||James Stanley|
|11am||Data management||James Stanley|
|1:15pm||Statistical analyses and ouput||James Stanley|
|3pm||Afternoon break||James Stanley|
|3:30pm||Graphs with ggplot2||Ellie Johnson|
|4:50pm||Summary of course and evaluation||James Stanley|
- Dr James Stanley is a Research Associate Professor and consulting biostatistician at the University of Otago, Wellington. He started using R in 2009 to draw nicer graphs than he could draw elsewhere, and now uses it for nicer everything-else-analysis.
- Ellie Johnson is an Assistant Research Fellow at the University of Otago, Wellington and has been using R for nearly a decade. She is passionate about the seemingly endless applications of R to research and making beautiful graphics.
This course will be held in-person at the Wellington campus of University of Otago in Mein Street, Newtown (next to Wellington Regional Hospital). Specific directions to the course reception/room will be sent the week before the course start.
NZD$375 early bird, NZD$500 after Wednesday 20 December 2023.
A 50% discount is available to full-time students, those unwaged and University of Otago staff.
For more information please contact the course convenor
- Contact name
- James Stanley