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Introduction to R/Open Science practices


Course Information


This two-day course will introduce participants to important open science practices in the social sciences including the pre-registration of study hypotheses, experimental design and plans for data analysis, as well as processes and procedures for sharing research data and analytic code. 

Course dates:  Monday 4th September and Tuesday 5th September 2023 (2-day course) 9.30 – 4.30
Location: Coleraine Campus
Instructor: Dr Eoin McElroy and Professor Victoria Simms

Summer School application closing date:  Closing date for applications is Friday 7th July 2023, 5 pm.

Student: £220 (more than one course £198)
Educational/charitable sector: £330 (more than one course £297)
Government/commercial sector:  £400 (more than one course £360)

A 10% discount will be given where the booking is for more than one short course

Summer School Cancellation Policy
Cancellations made prior to Friday 7th July 2023: full refund less administration fee of £50.
Cancellations made after Friday 7th July 2023: no refund.

General course contact - Jennie Reid, Statistics Summer School Administrator
Email: [email protected]  

Course Code


Course Leader

Dr Orla McBride
Course Description

This course will also provide applied researchers with an entry-level, practical introduction to R for the purposes of conducting reproducible data manipulation and analysis. It will introduce attendees to the basic functions of R, assuming no prior knowledge of computer programming. Particular attention will be paid to data exploration and visualisation techniques.  Attendees will also gain experience of conducting a range of common statistical techniques used in the behavioural and social sciences (e.g. correlational and regression analysis). Participants will also be shown how to install R packages for additional functionality. This course u

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Introduction to R/Open Science practices
04/09/202305/09/20230[Read More]

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