Efficient R Programming

 
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Computational Statistics and Machine Learning Section

Tuesday 08 November 2016, 01:00pm - 04:30pm

 
Location Royal Statistical Society, 12 Errol Street, London EC1Y 8LX

Presenter: Collin Gillespie (University of Newcastle & Jumping Rivers)

R is a (free) open source programming language and software environment for statistical computing and graphics. R is rapidly becoming the leading language in statistics and, today, is oneof the most popular tools of choice for professionals in academia and the industry.

This course is concerned with how to program efficiently with R. It will cover common pitfalls when writing R code, provide general hints and tips, code profiling and a brief introduction to RCpp. Finally, we will discuss leveraging parallel programming.

Course requirements:

  • All participants will need to bring their own laptop with the latest version of R
  • It is recommended that partipants also install RStudio.
  • Windows users should install Rtools. Mac users should have Xcode installed.
  • It is assumed that all participants program already in R and are familiar with loops, conditionals and functions.

For further information about this workshop, please contact the workshop organiser This email address is being protected from spambots. You need JavaScript enabled to view it..

To register, please follow this link.

Organiser Name Theodore Kypraios

Email Address This email address is being protected from spambots. You need JavaScript enabled to view it.

Organising Group(s) RSS Statistical Computing Section

 

 

 

 

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