Advanced Programming in R - Virtual Classroom

Date: Tuesday 15 December 2020 9.30AM - Wednesday 16 December 2020 5.00PM
Location: Online
CPD: 12.0 hours
RSS Training
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This is a two-day virutal tutor-led course on advanced aspects of R programming. This workshop is primarily aimed at R users who do not have a formal background in computing. The course will be a mixture of lectures and computer practicals and will cover conditional programming structures, functional programming, S3 and S4 objects.

 

Course Outline

This is a two-day virutal tutor-led course on advanced aspects of R programming. This workshop is primarily aimed at R users who do not have a formal background in computing. The course will be a mixture of lectures and computer practicals and will cover conditional programming structures, functional programming, S3 and S4 objects.
 

Learning Outcomes

  • An understanding of object orientated programming.
  • Appreciate the fundamental differences between the S3 and S4 object systems.
  • Be able to create S3, S4 and reference objects with associated methods.
  • An understanding of R environments and how they can be leveraged to form function closures.
  • An appreciation of when it is appropriate to use different object types.
 

Topics Covered

  • An overview of object orientated programming.
  • Anonymous functions.
  • Returning functions (closures).
  • Passing functions as arguments.
  • The R environment.
  • The S3 and S4 object structures.
  • Reference objects and mutable states.
  • Object methods and generic functions.
 

Target Audience

The course will be of interest to anyone who uses R, in particular those who want to develop their computer skills to cover more advanced topics. This course would be useful for participants who do not have a formal background in programming.
 

Delegate Feedback

“I am not scared of R anymore. It was actually fun!”

“The balance between lectures and practicals was good”

“Very clear lectures and hand-outs”

 

The course tutor will be one of the following:

Dr Colin Gillespie

Dr Colin Gillespieis a statistics lecturer at Newcastle University and is often employed as an R consultant by Jumping Rivers. He has been using R since 1999 and teaching R programming for the last eight years. Colin has authored a number of R packages and regularly answers R questions and is a top contributor on stackoverflow.
 

Dr Jamie Owen

Dr Jamie Owen has a PhD in Statistics, with a focus on scalable Bayesian inference. Since leaving academia, he has applied these skills in a number of commercial settings. His focus is using complex data sets, to give meaningful insights. 

Additionally, he has delivered R training courses ranging from introductory to advanced programming and big data analytics at a wide range of companies and academic institutions in both the UK and Europe, including the Francis Crick Institute and the MoD.

 

Fees

   

Registration before
 15 November 2020

 

Registration on/after
 15 November 2020

                                  

Non Member 

RSS Fellow 

RSS CStat/Gradstat also MIS & FIS

 

£611.00+vat 

£520.00+vat 

£490.00+vat

£680.00+vat 

£577.00+vat 

£543.00+vat

 
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