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This course is aimed at researchers who want to learn how to use the statistical software R.
You'll be introduced to the R interface and the R language in order to conduct statistical analysis - from reading-in your datasets to performing all mainstream statistical tests.
You can take this course either online or in person. You can also take this course over two evenings.
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).
The topics covered using R will include the following:
- Introduction to the R platform and interface
- Introduction to basic scripting commands
- Input of data sets
- Summary measures
- Graphical displays
- Statistical tests (t-tests)
- Add-ons and packages in R
- Help in R
You'll be expected to have a basic understanding of common statistical tests and concepts as these won't be taught during this workshop.
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:
- feel more familiar with the R interface and language
- read existing datasets into R or create new ones
- edit and save changes in existing data
- summarise and graphically display data
- perform all conventional statistical analysis tests
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
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)
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 Eirini Koutoumanou
Eirini has a BSc in Statistics from Athens University of Economics and Business and an MSc in Statistics from Lancaster University (funded by the Engineering and Physical Sciences Research Council). She joined UCL GOS Institute of Child Health in 2008 to develop a range of short courses for anyone interested in learning new statistical skills. Soon after, CASC was born. In 2014, she was promoted to Senior Teaching Fellow. In 2019, she successfully passed her PhD viva on the topic of Copula models and their application within paediatric data. Since early 2020 she has been co-directing CASC with its founder, Emeritus Professor Angie Wade, and has been the sole Director of CASC since January 2022. Eirini was promoted to Associate Professor (Teaching) with effect from October 2022.
Dr Chibueze Ogbonnaya
Since joining the teaching team at CASC in February 2019, Chibueze has contributed to the teaching and development of short courses. He currently leads and co-leads short courses on MATLAB, missing data, regression analysis and survival analysis. Chibueze has a BSc in Statistics from the University of Nigeria, where he briefly worked as a teaching assistant after graduation. He then moved to the University of Nottingham for his MSc and PhD in Statistics. His research interests include functional data analysis, applied machine learning and distribution theory.
Dr Catalina Rivera Suarez
Catalina has been an Associate Lecturer (Teaching) at CASC since January 2021. She has a PhD in Psychology and an MSc in Applied Statistics from Indiana University. She’s passionate about teaching courses in research methods, statistics, and statistical software. Catalina’s research focuses on studying how caregivers support the development of children's attentional control and language. She implements multilevel modeling techniques to investigate the moment-to-moment dynamics of shared joint visual engagement, as well as the quality of the language input, influencing infant learning and sustained attention at multiple timescales.
"Superb teaching - thank you! Progressed at the right pace."
"Great trainer who didn't assume anything about peoples' pre-knowledge"
"Really useful introduction - much better than trying to read about it yourself. Will try to follow on with regression in R to get more teaching on the package."
"Very enjoyable! Good examples."
"Excellent style of teaching: covered basics but at very good pace and without being patronising. Thank you"
"Great delivery by the presenter. Very clear and examples were very understandable across disciplines. The content was very clear. Help and explanations were also very clear."
"Very practical tips for using R were enormously helpful, and not the kind of thing that the textbooks seem to cover at all well."
"A very, very good course, led by 2 very good facilitators/teachers. Everything was clear and delivered efficiently and on time. Really great course and I would highly recommend."
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Course information last modified: 20 Feb 2024, 15:45