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Further Topics in R

17 May 2021–18 May 2021, 9:30 am–1:00 pm

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.

Event Information

Open to

All

Availability

Yes

Cost

£200.00

Organiser

Centre for Applied Statistics Courses

Subscribe to General Mailing List 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.  

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, 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.

CancellationsCancellation Policy

Future Dates
DatesTimeApply
TBC9:30am - 1.00pm^Subscribe to general 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.”