Further Topics in R
10:00 am to 4:30 pm, 01 July 2019
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.
Centre for Applied Statistics Courses
There are no dates currently advertised for this course. Sign up to our mailing list to be the first to hear of any updates:
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 of FALSE) statements
- Conditional commands (if, if else, etc.)
- Creating your own function
Delegates are welcome to bring their own laptops and access to the UCL Guest network will also be provided. Everyone wishing to bring their own computer should ensure R and Rstudio is installed before attending (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 * Staff and Doctoral Students from ICH/GOSH FREE †
* 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.
† Limited free spaces available. If there are no free places remaining, Staff and Doctoral Students from ICH/GOSH can still register at the UCL rate.
Prices include printed course materials, refreshments and lunch from 12.45-1.45pm.
Finally, please note that no refunds will be given for non-attendance or cancellations made within 5 working days of the start of the course. For delegates attending courses on funded places, a £50 fee will be charged for late cancellation, non-attendance or partial-attendance. This fee is needed to cover printing, catering, etc. costs that are ordered no later than 5 days before the course and are based on the number of people registered at that point in time.
- Future Dates (10.00am-4.30pm)
Dates Time Apply TBC 10.00am - 4.30pm^ TBC
^Registration period is 9.45am-10.00am with tea and coffee served and the course will begin at 10.00am. Delegates are expected to arrive at 9.45am to log in and set up their computer ready for the start of the course.
“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."