Further Topics in R
This course introduces a number of topics for R for those already familiar with the basics of the programming language, including some of the more advanced R code structures such as conditional commands and loops.
NOTE: This course will be delivered in hybrid mode, i.e. the in-person lecture will be transmitted live on zoom. The face-to-face part of the hybrid courses will go ahead conditional on at least 5 participants registering for this mode of delivery. Few classes may be delivered exclusively online, so please check under the Future dates tab for clarification. The online part of the class will be supported by its own dedicated teaching staff (along with the lead lecturer), therefore participants can expect the same level of group and individual support as the face-to-face class. You will be able to choose your preferred mode of attendance (face-to-face or online) during registration.
Details
The course is aimed at those who can already use the software to carry out a simple statistical analysis of their data. The course is designed to follow on from the Introduction to R course also run frequently by our team. However, it is also recommended for those who have learned the basics of R elsewhere. We assume attendees have both a basic knowledge of R programming and statistics (e.g. mean, median, confidence intervals).
The following topics are covered on the day:
- An introduction to the Rstudio software
- Organising and merging multiple datasets
- Conditional (TRUE or FALSE) statements
- Conditional commands (if, if else, etc.)
- Loops
- Creating your own function
Everyone wishing to attend should ensure R and Rstudio are installed on their computer (installation guidelines will be made available two weeks before the course).
Fees
Course fees
| External Delegates (Non UCL) | £200.00 |
| UCL Staff, Students (incl. ICH/GOSH) | £100.00 * |
| UCL Alumni | £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.
Cancellations: Cancellation Policy
Future Dates
| Dates | Time | Apply |
| TBC | 9.30am - 17.00pm | Subscribe to our Mailing List |
^We recommend logging in 10 minutes prior to the scheduled start time to access materials and ensure the course can start promptly.
Feedback
“Very enjoyable course. Well taught and supported with good materials and organisation.”
“The course was well-organized and the material that was given to us was very good: every single topic in the course is explained in detail. It is really useful.”
“The way the course was set up was good as you got a taster of many tools used in R and the best/only way you will really learn is to use it.”
“A very useful and well presented course; many thanks to the organisers!”
“Excellent course, delivered in an excellent way!”
“Very well planned course covering a range of useful topics in R”
“This course was excellent. The tutors were very informative and approachable for help. It was also reassuring to hear that R will take practice and making/correcting mistakes in order to learn - somehow this makes it less daunting! Also the acknowledgement that there are millions of functions/ways of doing things so the day was not about overwhelming us with too many different functions was appreciated. The live streaming code was also a great idea.”
Link
Mailing list
Our subscribers are the first to find out about new courses, new dates for existing courses and any other important CASC news.
Bespoke courses
If you are part of a team/organisation that would like statistics training, we can arrange extra dates for our existing courses or prepare something more bespoke.
Come to 6 day-courses, get a 7th free!
Once you have attended 6 short-courses, you're ready to claim your 7th day-course for free (please email us to make this arrangement). Our longer introduction course counts as three towards this total.
Contact
Please see our FAQ page before making an enquiry.
Email:
Recommended for general queries/payments:
ich.statscou@ucl.ac.uk
Phone:
For general queries/payments:
+44 (0) 20 7905 2768
To contact a teaching fellow about the contents of a course:
+44 (0) 7730405980
Address:
Centre for Applied Statistics Courses (CASC)
UCL Great Ormond Street Institute of Child Health
30 Guilford Street
London, WC1N 1EH
Other useful links
- GOS ICH Statistical Support Service
- On-demand UCL Extend self-paced courses
- Royal Statistical Society
- Instats
Link
Further information
Ticketing
Open
Cost
£200.00
Open to
All
Availability
Yes