Further Topics in R
Publication date: Aug 06, 2015 03:19 PM
May 24, 2017 10:00 AM
End: May 24, 2017 04:30 PM
24th May, 2017: This course introduces a number of topics for R for those already familiar with the basics of the programming language.
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 commands (if, if else, etc.)
- Creating your own function
- A brief introduction to ggplot2 (a package for graphs)
The course is run from a computer room on the UCL campus, with access to desktop PCs. Attendees are also welcome to bring their own laptops.
The course will take place in a cluster room, with access to a computer and R. Delegates are welcome to bring their own laptops if preferred (access to the UCL Guest network will also be provided), but everyone wishing to bring their own computer should ensure R is installed before attending (installation guidelines will be made available two weeks before the course).
All CASC courses take place in central London, in or close to the Institute of Child Health. Specific details of the course venue will be supplied after registration.
External Delegates (Non-UCL) £150.00
UCL Staff, Students, Alumni £75.00 *
ICH/GOSH Staff and Doctoral Students 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, ICH/GOSH Staff and Doctoral Students can still register at the UCL rate.
Prices include printed course materials, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm).
Please note that no refunds will be given for cancellations made within five working days of the course start date or for non-attendance, and for individuals attending the course on a funded place, a fee will be charged for late cancellation/non-attendance according to the same time frame. 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
“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"