About ECOSCOPE
ECOSCOPE is an industrial stream NSERC CREATE training program which provides UBC students and post-docs with the skills needed to translate environmental sequence information derived from studying microbial communities in natural and engineered ecosystems into commercial and entrepreneurial activities.
Upcoming R Workshop Events
Introduction to R Workshop Series
September 26, 28 & 30
You will learn:
§ the concept of a data vector, and how to use vectorized functions,
§ how to organize your data vectors into data frames,
§ to import data from a file or on the web into an R data frame,
§ to create various graphics using R’s built in graphical capabilities,
§ to modify the various features of a graphic,
§ to add additional features to an existing graphic, and
§ to save your graphic in various formats,
§ how to organize your work with R Studio using projects.
Workshop 1: Monday, September 26th, 12:00pm – 2:00pm
Workshop 2: Wednesday, September 28th, 2:00pm – 4:00pm
Workshop 3: Friday, September 30th, 2:00pm – 4:00pm
Pre-requisites
None.
Location
Room LSC3 – Life Sciences Institute – 2350 Health Sciences Mall. Vancouver, BC – View Map
Registration
You can register to the workshop series ($36 plus fees). The fee includes 3 sessions, and 6 hours of instruction. Free for ECOSCOPE trainees (to rsvp contact info.ecoscope@ubc.ca). No refunds.
Related Workshops
Working with Data Workshop Series – October 2016
Graphics with Ggplot Workshop Series – November 2016
Introduction to R Workshop Series – January 2017
Statistical Models Workshop Series – February 2017
Reproducible Research Workshop Series – March 2017
Intermediate R Programming Workshop Series – April 2017
About the Instructors
Davor Cubranic is a scientific programmer in the Department of Statistics and a member of Applied Statistics and Data Science Group (ASDa) He has been using R for six years and has authored eight R packages published on CRAN. Prior to joining UBC, Davor worked in the software industry developing tools for exploring and analyzing large datasets.
Rick White has worked for the Applied Statistics and Data Science Group (ASDa) in the UBC Department of Statistics for over 20 years. For the last 7 years he has been the Managing Director. Rick has consulted on many projects that cover a wide variety of statistically related issues, including experimental design, graphical displays of data, statistical modelling and data analysis. Through his consulting he has co-authored over 40 peer reviewed papers primarily in biostatistics and the “omics”. He started using R shortly after it was released in 1997.
For more events, take a look at our event calendar