Useful external links ...
We are most grateful for your support.
We would like to extend our grateful thanks to our three presenters for their excellent presentations:
Max Kuhn, Mani Subramaniam and Brian McHugh
Presentations at the event were:
Richard Pugh, Mango Solutions: “MSToolkit 3.0: Clinical Trial Simulation using R”
Max Kuhn, Pfizer: “The Caret Package: A Unified Interface for Predictive Models”
Mani Subramaniam, AT&T Labs: "tsX: An R package for the exploratory analysis of a large collection of time-series <http://user2010.org/abstracts/Subramaniam+Varadhan+Urbanek+Epstein_3.pdf%20%20>
Brian McHugh, Bristol Myers Squibb: "How R can orchestrate bootstrapping"
What is New JerseyR?
Similar to the well-known LondonR and BaselR this informal meeting is intended to serve as a platform for all local (and regional) R users to present and exchange their experiences and ideas around the usage of R. Mango Solutions hopes to host such meetings quarterly. A typical NewJerseyR meeting will consist of 3-4 talks of about 20-25 min to give plenty of room for sharing your R experiences, discussions and exchange of ideas.
If you would like to attend NewJerseyR we would be most grateful if you could please register your attendance by emailing newjerseyr@mango-solutions.com
We very much hope you will be able to join us.
Mailing List
To ensure you receive details of all future NewJerseyR meeting please ask to join our mailing list by emailing us at: newjerseyr@mango-solutions.com
How to contribute?
We are always looking for volunteers to present at subsequent meetings. If you think you have something interesting to present or know of someone who has, please contact us.
For ideas on presentations, take a look at previous presentations given at LondonR (here).
For more information about Mango Solutions please contact us or visit our website www.mango-solutions.com
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 www.mango-solutions.com
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