Github
LinkedIn
Twitter
YouTube
RSS
MENU
logo

Training Course Details

Efficient R Programming

Efficient R Programming

Course Level: Advanced

This course is for anyone who wants to make their R code faster to type, faster to run and more scalable. During the course, we’ll cover the main R sins (and how to avoid them), dabble with hardware, look at running in parallel and think about efficient R data structure. This course should be useful to people with a range of skill levels.

View our full training course calendar » Ask about our on-line training » Ask about our on-site training »

No Events Currently Scheduled

Sorry, there are no upcoming events for this course, but please get in touch if you would like to be kept informed when events are scheduled in the future.

View our full training course calendar »
Request on-site training details Request on-line training details View all training courses

Course Details

  • Course Outline
  • Learning Outcomes
  • Materials
  • Prior Knowledge

Course Outline

  • Why is your code slow? Code profiling: which part of the code should you optimise.
  • Efficient data structures: Object growth and memory allocation.
  • Avoiding loops: Accessing the underlying C code faster.
  • Parallel computing: An introduction to multi-core computing.

Jumping Rivers staff quite literally wrote the book on Efficient R programming. Dr Colin Gillespie, a consultant at Jumping Rivers and Senior Statistics Lecturer in the School of Mathematics & Statistics at Newcastle University is the author of the recent O’Reilly book.

Learning Outcomes

By the end of the day participants will…

  • be able to identify which part of their R code needs optimising
  • have a good understanding of how to efficiently manage memory within an R session
  • improve the efficiency of their own R code using parallel computing
  • be able to avoid key the R sins of inefficiency, such as vector growth

Materials

  • Example course material for 'Efficient R Programming
  • Example course material for 'Efficient R Programming
  • Example course material for 'Efficient R Programming
  • Example course material for 'Efficient R Programming

Prior Knowledge

It will be assumed that participants are familiar with R. In particular, functions and for loops. Attending the programming with R course will be sufficient.

x
Example course material for 'Efficient R Programming' Example course material for 'Efficient R Programming' Example course material for 'Efficient R Programming' Example course material for 'Efficient R Programming'

Attendee Feedback

©2021 Jumping Rivers | Site by Bugle Agency