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useR! 8 th Annual International R Users Conference

useR! 8 th Annual International R Users Conference. Joanne Ellwood. The useR! Conference. June 12-15, 2012 Nashville, TN 482 attendees Very open environment Presenters, probably no one rejected. The useR! Attendees. Lots of academia Mostly advanced degrees They are really into graphs

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useR! 8 th Annual International R Users Conference

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  1. useR!8th Annual International R Users Conference Joanne Ellwood

  2. The useR! Conference • June 12-15, 2012 • Nashville, TN • 482 attendees • Very open environment • Presenters, probably no one rejected

  3. The useR! Attendees • Lots of academia • Mostly advanced degrees • They are really into graphs but call them plots

  4. The useR! Community • Unix and Mac • Open source most everything else • R language constantly in flux

  5. The useR! Key Points • Reproducible Results • Moving your org to R • R and Big Data

  6. The useR! Conference Reproducible Results • The cautionary tale • Potti et el of Notre Dame 2006 • Biogenenics for cancer treatment • Kevin Coombes team discovered • Off by 1 error • Willful data manipulations and fraud • National news coverage • Fallout – people died, lawsuits, Potti

  7. The useR! Conference Moving your org to R • Robert Muenchen • Manager, University of Tennessee • Office of Information Technology, Research Computing Support • In-house • Do what users know • Stop licensing little used SAS modules like ETS, QC • Replace with R packages • Freeze new development in SAS

  8. The useR! R and Big Data R and Hadoop • RHive • Is SQL’ish but called HQL • The architecture

  9. The useR! R and Big Data PL/R in EMC GreenPlum • PL/R is a PostgreSQL language extension that allows you to write PostgreSQL functions and aggregate functions in the R statistical computing language. • Use PostgreSQL to query Greenplum data. • Parallel processing • Install R on every GreenPlum node • Know how data is split • Define and query on the splits

  10. The useR! R and Big Data in-database vendor solutions • Oracle • Netezza • EMC GreenPlum • PL/R explicit parallel • MADLib implicit parallel • GPHD GreenPlum + Hadoop

  11. The useR! Conclusion Knitr /= Sweave HiveR /= Rhive Eclipse/Rstudio PL/R to PostgreSQL PostgreSQL to ECM greenPlum GPHD R/R/R/R/R/R/R/R!

  12. The useR! Questions ?

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