Book a place
This course is for those familiar with the basics of the statistical software R and want to learn how to use R's advanced features.
You should have basic knowledge of R programming and statistics (e.g. mean, median, confidence intervals).
This course takes place online, over two mornings (9:30am to 1pm).
Due to the coronavirus outbreak, this course will be run online through a live video feed.
This course is run by UCL's Centre for Applied Statistics Courses (CASC), part of the UCL Great Ormond Street Institute of Child Health (ICH).
This course will cover the following topics:
- An introduction to the Rstudio software
- Organising and merging multiple datasets
- Conditional (TRUE of FALSE) statements
- Conditional commands (if, if else, etc.)
- Creating your own function
- An introduction to ggplot2 (as time allows)
Computers and software
You'll need to have R and Rstudio installed on your computer (installation guidelines will be made available two weeks before the course).
By the end of this course you should be able to:
- use the software Rstudio for R programming
- work with multiple datasets that may be linked and part of the same analysis
- make R code more generalisable and responsive to changes in the data
- use loops to make code more concise and understand when they are required
- create new R functions
You can request a certificate of attendance for this course once you've completed it. Please send your request to email@example.com
Include the following in your email:
- the name of the completed course for which you'd like a certificate
- how you'd like your name presented on the certificate (if the name/format differs from the details you gave during registration)
Cost and concessions
The fees are as follows:
- External delegates (non UCL) - £200
- UCL staff, students, alumni (including ICH/GOSH) - £100*
* valid UCL email address and/or UCL alumni number required upon registration
Find out about other statistics courses
CASC's stats courses are for anyone requiring an understanding of research methodology and statistical analyses. The courses will allow non-statisticians to interpret published research and/or undertake their own research studies.
Find out more about CASC's full range of statistics courses, and the continuing statistics training scheme (book six one-day courses and get a seventh free.)
Dr Dean Langan - Course Lead
Dean is a Senior Teaching Fellow in CASC. He has a Bachelor’s degree in Mathematics from University of Liverpool, a Master's degree in Medical Statistics from University of Leicester, and a PhD from University of York for his research in statistical methods for random-effects meta-analysis. He's worked as a statistician on a number of clinical trials related to stroke and myeloma at the Clinical Trials Research Unit in Leeds. His specialist areas include statistical methods for meta-analysis, R programming, clinical trial methodology and research design.
Book a place
Course information last modified: 17 May 2021, 09:11