PSI Training Course: R for SAS Users

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Date: Monday 17th May - Tuesday 15th June 2021 [set days]
Time: 09:45 - 12:00 [on set session days]
Presenters: Alanah Jonas, Andy Nicholls, Christina Fillmore, Eleni Kleanthous, Pavan Kumar, Tulasi Marrapu (all from GSK)
Important: Please note, this is a 5-week virtual course. 

Who is this event intended for? Statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.
What is the benefit of attending? Attendees will learn how to: understand data manipulation in R; produce R graphics with ggplot2; and perform & interpret statistical analyses in R.

Course cost

NB: This course has Earlybird rates available. These are valid for bookings on or before 19th April only.
Earlybird Members = £300+VAT
Earlybird Non-Members = £395+VAT*
Regular Members = £340+VAT
Regular Non-Members = £435+VAT*
*Please note: Non-Member rates include membership for the rest of the 2021 calendar year.


This event is now fully booked.


This course consists of 5 x 2-hour training sessions run over 5 weeks.
Each session will be repeated on two mornings per week (09:45am – 12:00pm), so attendees are able to pick which day they attend each week, out of the dates provided.

Session 1: Monday 17th May or Tuesday 18th May
Session 2: Monday 24th May or Tuesday 25th May
Session 3: Tuesday 1st June or Wednesday 2nd June
Session 4: Monday 7th June or Tuesday 8th June
Session 5: Monday 14th June or Tuesday 15th June

R is quickly gaining popularity within the pharmaceutical industry due to it being a very powerful object-orientated language, and is able to produce analyses and high quality graphics. It can be used for high performance computing and allows easy integration with other software.

This course is aimed at statisticians who are experienced with other software languages (such as SAS) and would like to increase their proficiency in R.

Participation will provide access to extensive course materials in the form of a ‘bookdown’ site.  However, this is designed as a hands-on, interactive course.  Both you and the trainers will work entirely within the RStudio Cloud development environment, which will remain accessible between virtual sessions in order to further explore and cement your understanding.

Topics covered include:

1. Introduction to R and RStudio
2. Data types and vectors
3. Welcome to tidyverse
4. Importing/exporting data
5. Handling data
6. Piping
7. Summaries and aggregation
8. Setting and merging
9. Transposing data
10. Introduction to statistical analysis in R
11. R Graphics with ggplot2
    a. Layering
    b. Aesthetics and groups
    c. Graph types: geoms
    d. Panelling: faceting
    e. Themes and styling

Please click here to view the flyer for this event.

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