PSI TRAINING COURSE - Royal Statistical Society

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A 2 day course on Advanced Programming in R

Presented by Dr Colin Gillespie, Newcastle University

5 & 6 December 2016

Venue:

The Royal Statistical Society, 12 Errol Street, London, EC1Y 8LX

Nearest Tubes: Barbican, Liverpool Street, Moorgate, Old Street

Course summary:

Learning outcomes:

Topics covered:

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.

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 Registration before

05 November 2016

Registration on / after

05 November 2016

Non Member

RSS Fellow

£562.50+vat

£478.12+vat

RSS CStat: also MIS, FIS & GradStat

£450+vat

Contact:

Tessa Pearson, Royal Statistical Society, 12 Errol Street, London EC1Y 8LX.

Tel: +44 (0)20 7614 3947 Email: courses@rss.org.uk

Fax: +44 (0)20 7614 3905

£625+vat

£531.25+vat

£500+vat

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 – 5 & 6 DECEMBER 2016

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

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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 05 November 2016 Registration on or after 05 November 2016

Non member (£562.50+vat) £675.00 □

CStat, MIS, FIS and GradStat (£450+vat) £540.00 □

Non member (£625+vat) £750.00 □

RSS Fellow (£478.12+vat) £573.75 □ RSS Fellow (£531.25+vat) £637.50 □

CStat, MIS, FIS and GradStat (£500+vat) £600.00 □

PAYMENT

 I enclose a cheque for £___________payable to “RSS Services Limited”

Please invoice me at the above address

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Terms and conditions:

Please tick to confirm you have read, understood and agreed to our Terms and Conditions for public and online courses

These can be read and downloaded from the RSS training courses page on our website.

Please give details of any special dietary requirements:

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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:

Tessa Pearson, Royal Statistical Society, 12 Errol Street, London EC1Y 8LX, UK

Tel : +44 (0)20 7614 3947 Email : courses@rss.org.uk

Fax: +44 (0)20 7614 3905

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