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Hello and welcome to the Manchester R site. If you are interested in knowing how much stock to buy for your business, what the results of your scientific experiment mean, or which player should be substituted on your sports team, then you can find the answer using R! Download a copy for free from

Quarterly meeting for R enthusiasts with a few short presentations, discussion and networking.

We are at the Event Space in HOME, 2 Tony Wilson Place

Manchester M15 4FN

Thanks very much to Robin Gower as our guest presenter last meeting.

Details of the next meeting are as follows:

Date: Tuesday 8th December

7pm The main meeting begins (there will be breaks for discussion and trips to the bar)


  • The use of the twitteR package, and a guide to constructing literature alert bots - Louis Maddox
  • Agent-based models on a network within R - Marco Smolla
  • Data Science Radar - Chris Campbell

The Data Science Radar presentation will include some analysis based from Manchester R attendees! Please complete the Data Science Radar Survey and tweet the results to @CSJCampbell. Please also tweet a link to something that you've created (blog post, report, publication, etc.) or email a single document (script, notes, etc.) to ccampbell at This document will be summarized (by some metrics to be determined) to be used in conjunction with the Data Science Radar scores.

Mailing List

If you would like to attend please email If you would like to present at the next Manchester R meeting then drop us an email. Click here to join the Manchester R mailing list and receive automatic updates on all future Manchester R events.


Meetup User Group

You can join our meetup user group at - You can also register to attend the event from the meetup page.


About us

Chris Campbell

Chris is interested in using analytical approaches to scientific problems. He has used R for investigating polymer medical devices, segmenting images, and performing non-compartmental analysis. Chris is a consultant at Mango Solutions.


Graeme Hutcheson

Graeme is a lecturer in quantitative methods and statistical modelling in the School of Education at Manchester University.  He has used R since version 0.9 to research and teach statistics and is particularly interested in generalized linear models, problems of variable and model selection and in promoting the wider use of R.




View past Manchester R Presentations here

Useful Links:





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  Mango Solutions is a data analysis company headquartered in the UK. With offices throughout the world we deliver tailored training, consulting and software. We assist our customers in harnessing the power of complex statistical analysis to support business critical decisions. For more information about Mango Solutions please visit +44 (0)1249 705 450.
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