Introduction to R
04 May 2020, 10:00 am–4:30 pm
This course aims to familiarise participants with the R interface and the R language, in order to enable them to conduct statistical analysis; from reading in their datasets to performing mainstream statistical tests.
Centre for Applied Statistics Courses
NOTE: Due to the coronavirus outbreak, all courses will now be delivered online through a live video feed. You can expect the same level of group and individual support as you would have received in our face-to-face courses.
This course is aimed at researchers who want to learn how to use the statistical software R to conduct statistical analysis. Delegates will be expected to have a basic understanding of common statistical tests and concepts as these will not be taught during this workshop (taught on our 5 day course - Introduction to Statistics and Research Methods). The topics covered using R will include:
- Introduction to the R platform and interface Introduction to basic scripting commands
- Input of data sets
- Summary measures
- Graphical displays
- Statistical tests (t-test)
- Add-ons and packages in R
- Help in R
Everyone wishing to attend should ensure R and Rstudio is installed on their computer (installation guidelines will be made available two weeks before the course).
External Delegates (Non UCL) £200.00 UCL Staff, Students, Alumni (incl. ICH/GOSH) £100.00 *
* Valid UCL email address and/or UCL alumni number required upon registration. Please note, this category does not include hospital staff unless you hold an official contract with the university.
Please note that no refunds will be given for cancellations made within five working days of the course start date or for non-attendance.
- Future Dates (10.00am-4.30pm)
^We recommend logging in 10 minutes prior to the scheduled start time to access materials and ensure the course can start promptly at 10.00am.
Dates Times Apply 4th May 2020 10.00am - 4.30pm^ Book Now
- Future Dates (evening)
Dates Times Apply 24th-25th June 2020 5.30pm - 8:15pm Book Now
^We recommend logging in 10 minutes prior to the scheduled start time to access materials and ensure the course can start promptly at 5.30pm.
"Fantastic course, thank you!"
"Very informative and useful, was pitched correctly for my level of knowledge. Tutors were very helpful and knowledgeable. Overall a good experience"
"Overall, the course was excellent."
"This is one of the best organised and executed courses I have ever attended"
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