network for excellence in
    mathematics and statistics support

R Day: Delivery of Statistics Support using R – 2 December 2015

 Place: University of Essex 

Date: Wednesday 2nd December 2015 

10:30 am refreshments for a 10:45 am start.To finish by 4:30 pm.

The popular and free software termed “R” is already well used by academics across various disciplines. The R Day, to be held at the University of Essex Campus near Colchester, will focus on how R can be used to provide statistical support to students and academics or to the wider community outside academia. Learning support centres, which offer excellent Maths support, often struggle to provide the same level of service in Stats beyond only basic statistical concepts. This sigma R day will explore how to use the R software in a teaching or help desk style scenario for Statistics.

The day will be led by three experienced practitioners:

  • Dr Spyros Vrontos (Essex University)
  • Dr Jim Bull (Swansea University)
  • Dr Magnus Johnson (Hull University)

Participants will not be expected to know R although some basic familiarity will be useful. Only elementary statistical knowledge will be assumed. It is envisaged that this sigma R day will be the first of a trio with Jim and Magnus hosting the other two at Swansea and Hull, thus neatly covering much of England and Wales.

The meeting will be particularly helpful for those just starting in a Stats support service, for example through the sigma funding initiative, but more experienced practitioners will also find it interesting and an opportunity to network with others.

The event will be attended by David Bowers, Chair of the sigma network, who will give an update on the sigma Network.

Free event with a sandwich buffet provided.  To book a place, or for further information, please contact: Dan Brawn, sigma Eastern England Hub Assistant Co-ordinator: dbrawn@essex.ac.uk 

For those working towards HEA Fellowship, attendance at and engagement with this event could help to provide evidence towards elements of the UK Professional Standards Framework: A1, A2, A5, K1, K2, K4 & V2.