General information on the R users Group at The University of Manchester.
The R at University of Manchester Group exists to bring together R users of all levels, with interests in diverse fields from across the University to exchange tips, ideas and knowledge for the benefit of all. This group was previously known as the FLS R Group, and is inclusive to all Faculties of The University of Manchester.
E-mail list To stay updated, subscribe to the mailing list here or send an email to LISTSERV@listserv.manchester.ac.uk with no subject and the body “SUBSCRIBE RUM Your Name”
Timetable
RUM Group Sessions - Term 2 2016-17
Sessions are held monthly, on Mondays, from 11.00 - 12.30: Ground floor conference room at Vaughan House
Upcoming sessions
Date | Presenter | Topic |
---|---|---|
05/06/2017 | Henry Partridge | Spatial data in R |
TBD | TBD | TBD |
Recently passed sessions
Date | Presenter | Topic |
---|---|---|
27/09/2016 | Marco Smolla and all | Future Direction of RUM |
07/11/2016 | Bede Constantinides | Plot.ly |
Ralf Becker | Teaching with R | |
05/12/2016 | Paul Johnston | Text mining in R |
Heather Robinson | Enhancing your research with public data | |
06/02/2017 | Syed Murtuza Baker | Single Cell Analysis with R |
Reka Solymosi | Leaflet for interactive maps | |
13/03/2017 | All | Discussion about R in teaching clusters |
Reka Solymosi | Shiny introduction | |
03/04/2017 | Miguel Belmonte | Wavethresh package for time series data |
08/05/2017 | Glen Martin & | Missing data with MICE package |
William Hulme |
More R Group presentations are currently in planning.
Get involved Please let us know what topics you could contribute discussion towards by registering in the doc available here
If you would like to get involved with events/ organising/ general R fun times contact Heather (heather.robinson-2@manchester.ac.uk) or Reka (Reka.Solymosi@manchester.ac.uk)
Aims of the group
- to promote the R programming language across UoM
- to share knowledge of R
- to explore the use of R for a wide variety of purposes including statistical analysis, data science, GIS, reporting and others yet to be discovered
- to collaborate on problem solving using R
- to encourage reproducibility through the sharing of R code
R resources
For those new to R, we have developed a set of Introduction to R notes
R courses
If you are aware of any upcoming R courses of interest to our members please feel free to suggest that they are added to these pages.