Meet with other Philadelphia area users of the R programming language
The Philly UseR Group is aimed at sharing knowledge and experience among users of the R statistical programming environment.
Assistant Professor of Marketing, Drexel University and Fellow, Wharton Customer Analytics Initiative
Elea’s research focuses on leveraging customer data to make better product design and advertising decisions, particularly when data is incomplete, unmatched or aggregated. Much of her career has focused on developing new quantitative methods and bringing them into practice, first working in product design at General Motors, then commercializing new methods at the marketing analytics firm,The Modellers, and most recently as the Executive Director of the Wharton Customer Analytics Initiative, where she built the academic-industry partnership program.She enjoys making analytics accessible to a broad audience and has recently co-authored a book, R for Marketing Research and Analytics, with Chris Chapman. She regularly teaches popular tutorials and workshops for practitioners on marketing experiments, marketing analytics in R, discrete choice modeling and hierarchical Bayes methods as well as undergraduate and MBA classes in data-driven digital marketing. She holds a PhD in Marketing from the University of Michigan, an MS in Industrial Engineering from Lehigh University and a BA in Mathematics from University of Pennsylvania.
Choice modeling or conjoint analysis is a popular tool among marketers for understanding how a customer will choose from among a set of products. While conjoint has long been the domain of specialized software providers like SAS and Sawtooth Software, several R packages have made it easy to estimate choice models in R. Through this hands-on workshop, Elea will explain how conjoint data is collected, how it is analyzed using R and how the resulting models can be used to forecast demand for new product or to plan pricing for existing products. She will also provide pointers to several other marketing methods that can be done in R including perceptual maps, logistic regression, buy ’til you die models, segmentation and market basket analysis. You can download the code we will use in advance, which requires the mlogit and ChoiceModelR packages.
Our portal provider, Ning, has member limit of 150, for which I pay $20/yr out-of-pocket. So there are 40 waiting approvals which will likely never see the light of day.
The only available upgrade is to Ning 3.0 which costs a cool $300/yr. I am not willing to pay that personally although if someone would like to spearhead a move to Meetup or something homegrown I would be happy to help with the migration.
Posted by Jeremy Leipzig on November 16, 2015 at 11:49am
Another local R group is having a meeting tomorrow. Recently formed in 2013, the Central Jersey R User Group is based out of Princeton, NJ -- which is really not that far from Philly, especially if you have a car. :-)
Posted on behalf of Rees Morrison and Giles Crane (organizers):
We will meet this coming Tuesday, December 3, 2013, from 5:30pm - 7:30pm at the law firm of Pellettieri, Rabstein, and Altman, 100 Nassau Park Blvd., Princeton, NJ (609) 520-0900…Continue
Posted by Joel Usansky on December 2, 2013 at 10:51am
If anybody is interested, there is another "local" R group that recently formed in Princeton, NJ. Its really not that far from Philly if you have a car. :-)
Posted on behalf of Rees Morrison:
Through the diligent efforts of Giles Crane, we have a new meeting place. Our third meeting, Thursday, September 12, 2013, from 5:30pm - 7:30pm, will be graciously hosted by the law firm of Pellettieri, Rabstein, and Altman, 100 Nassau Park Blvd., Princeton, NJ…Continue
Posted by Joel Usansky on July 19, 2013 at 10:18am
I met Pete at a big data analytics conference last year. And he was one of my favorite presenters there. Aside from leading an analytics team at Yammer, Pete runs a bacon hot sause business on the side. I recently got him to open up on his favorite subject: what makes an analyst successful? Continue reading
Posted by Kelly Ke on February 11, 2013 at 6:00pm
Started by Jeremy Leipzig May 5.
The statistical programmer will be responsible for supporting client’s clinical projects through the creation and maintenance of analysis data sets, CDISC related SAS programming and the execution of…Continue
Started by Kelly Ke Feb 11, 2013.