A 2 day course on Advanced Programming in R Presented by Dr Colin Gillespie, Newcastle University 7 & 8 December 2015 Venue: The Royal Statistical Society, 12 Errol Street, London, EC1Y 8LX Nearest Tubes: Barbican, Liverpool Street, Moorgate, Old Street Course summary: This is a two day intensive course on advanced aspects of R programming. This workshop is primarily aimed at R users who do not have a formal background in computing. The course will be a mixture of lectures and computer practicals and will cover conditional programming structures, functional programming, S3 and S4 objects. Learning outcomes: Topics covered: An understanding of object orientated programming. Appreciate the fundamental differences between the S3 and S4 object systems. Be able to create S3, S4 and reference objects with associated methods. An understanding of R environments and how they can be leveraged to form function closures. An appreciation of when it is appropriate to use different object types. An overview of object orientated programming. Anonymous functions. Returning functions (closures). Passing functions as arguments. The R environment. The S3 and S4 object structures. Reference objects and mutable states. Object methods and generic functions. Target audience: The course will be of interest to anyone who uses R, in particular those who want to develop their computer skills to cover more advanced topics. This course would be useful for participants who do not have a formal background in programming. Knowledge assumed: A basic knowledge of R is needed. No statistical knowledge is required. Course format: The workshop will be hands on and participants will be expected to provide their own laptop computer. Prior to the workshop participants should download and install R and rstudio. Both pieces of software are free. Delegate feedback: “I am not scared of R anymore. It was actually fun!” “The balance between lectures and practicals was good” “Very clear lectures and hand-outs” Fees (including VAT) RSS Fellow paying standard subscription RSS CStat: also MIS, FIS & GradStat RSS Fellow paying concessionary subscription * Non member ** Contact: Registration before 26 October 2015 Registration on / after 26 October 2015 £486 £432 £378 £638 £540 £480 £420 £708 Sarah Barker, Royal Statistical Society, 12 Errol Street, London EC1Y 8LX. Tel: +44 (0)20 7614 3915 Email: courses@rss.org.uk Fax: +44 (0)20 7614 3905 * applies to Fellows who are retired, students, recent graduates or resident in an economically developing area ** Non members are welcome to join the Society at the same time as registering for the course and the discount received will cover the cost of their first subscription payment. More information about membership can be found at www.rss.org.uk/join REGISTRATION FORM ADVANCED PROGRAMMING IN R – 7 & 8 DECEMBER 2015 PLEASE USE ONE FORM PER PERSON. Completed forms may be faxed to + 44 (0)20 7614 3905 Preferred first name I am/am not an RSS fellow Membership number ………………………. Surname Telephone Number Fax number E-mail address (our normal method of contact will be e-mail, unless you advise us otherwise) Organisation Name Address (including postcode) Invoice Address (including postcode) if different from above COURSE FEES (including VAT @ 20%): Includes full course notes, tea/coffee and lunch Please tick the appropriate box below: Registration before 26 October 2015 Registration on or after 26 October 2015 £486.00 (RSS Fellow paying standard subscription) £540.00 (RSS Fellow paying standard subscription) £432.00 (RSS CStat, MIS, FIS and GradStat) £480.00 (CStat, MIS, FIS and GradStat) £378.00 (RSS Fellow paying concessionary subscription) £420.00 (RSS Fellow paying concessionary subscription) £638.00 (Non Member) £708.00 (Non Member) I enclose a cheque for £___________payable to “RSS Services Limited” Please invoice me at the above address Purchase order number (required): Please debit my credit/debit card for the amount of £_____ Type of card: Visa / MasterCard / Maestro Registered address, house number Card number: Postcode: Expiry date: Name on card: 3 digit security number (on back of card): Signature: PAYMENT (NB this information will be destroyed once payment has been processed) Cancellations: For cancellations made more than one month in advance – full refund (less £20 admin charge) For cancellations made between one month and 2 weeks in advance – 50% refund (less £20 admin charge) For cancellations made less than 2 weeks in advance – no refund. If the course is oversubscribed and the place can be filled, a full refund (less £20 admin charge) may be given Cancellations must be made in writing and confirmed by the Society Delegate substitutions can be made at any time Please give details of any special dietary requirements: How did you hear about this course? AllStat RSS Newsletter RSS Website Other (Please State) The information given above will be used by the Royal Statistical Society to process your registration. It will be retained and used by staff, officers and members in furtherance of the aims of the Royal Statistical Society, and in accordance with the 1998 Data Protection Act. The information will not be passed on to any third party. We may contact you with details of other courses and events which might be of interest. If you would prefer not to be contacted in this way, please tick the box Please return completed form to: Sarah Barker, Royal Statistical Society, 12 Errol Street, London EC1Y 8LX, UK Tel: +44 (0)20 7614 3915 Email: courses@rss.org.uk Fax: +44 (0)20 7614 3905