These R workshops are especially tailored for biology/ecology.
Location is at the Centre for Applications in Natural Resource Management, The University of Queensland in Brisbane Australia.
Presenters: Prof Anthony Richardson (UQ Centre for Applications in Natural Resource Mathematics), Associate Prof David Schoeman (University of the Sunshine Coast), Dr Chris Brown (Griffith University) and the Advanced R Dr Bill Venables (CSIRO).
We provide comprehensive Workshop notes, including basic theory, applied worked examples in biology/ecology, and solution code.
INTRODUCTION to R 5 February, 2018, 9am – 4pm UQ 01-E302, Forgan Smith Building Getting data into R Summary Statistics Simple Graphics Manipulating Data Simple statistics Beginners Course in Learning R Cost: $200/$150 students
INTERMEDIATE R 6-7 February, 2018, 9am - 4pm UQ 01-E302, Forgan Smith Building ANOVA Regression Model selection GLMs for binary and count data GAMS TREEs Clustering Ordination Mapping Spatial analysis This workshop is for you if you have been using R and want to improve your skills. Cost: $400/$300 students
ADVANCED R 5-7 February, 2017 9am – 4pm, UQ 01-E356, Forgan Smith Building Content Advanced data manipulation and visualisation. Advanced graphics. Statistical model building based on traditional and machine learning techniques. Programming and software development in the R language. If you have used R extensively, then the Advanced R Workshop is for you. Cost: $600/$450 students
Testimonials June 2017: “I truly enjoyed the whole workshop. Great teachers, really nice real data examples and good notes and background. Everything was very well thought out and explained.” June 2017: “I was really impressed with everything covered and how it was presented. I am feeling a lot better about using stats now than I was previously. I think it should be a compulsory course for all PhDs, particularly in biol/sees/gpem.”
REGISTRATION IS NOW OPEN under “Conferences” see R Workshops 2018.
Contact: email@example.com for more information
Centre for Applications in Natural Resource Management
School of Maths and Physics
The University of Queensland