Discover R and RStudio at JSM 2016 Chicago!

The JSM conference in Chicago, July 31 thru August 4, 2016, is one of the largest to be found on statistics, with many terrific talks for R users. We’ve listed some of the sessions that we’re particularly excited about below. These include talks from RStudio employees, like Hadley Wickham, Yihui Xie, Mine Cetinkaya-Rundel, Garrett Grolemund, and Joe Cheng, but also include a bunch of other talks about R that we think look interesting.

When you’re not in one of the sessions below, please visit us in the exhibition area, booth #126-128. We’ll have copies of all our cheat sheets and stickers, and it’s a great place to learn about the other stuff we’ve been working on lately: from Sparklyr and R Markdown Notebooks to the latest in RStudio Server Pro, Shiny Server Pro, shinyapps.io, RStudio Connect (beta) and more!

Another great place to chat with people interested in R is the Statistical Computing and Graphics Mixer at 6pm on Monday in the Hilton Stevens Salon A4. It’s advertised as a business meeting in the program, but don’t let that put you off - it’s open to all.

SUNDAY

Session 21: Statistical Computing and Graphics Student Awards Sunday, July 31, 2016 : 2:00 PM to 3:50 PM, CC-W175b

Session 47 Making the Most of R Tools Hadley Wickham, RStudio (Discussant) Sunday, July 31, 2016: 4:00 PM to 4:50 PM, CC-W183b

Thinking with Data Using R and RStudio: Powerful Idioms for Analysts Nicholas Jon Horton, Amherst College; Randall Pruim, Calvin College ; Daniel Kaplan, Macalester College Transform Your Workflow and Deliverables with Shiny and R Markdown Garrett Grolemund, RStudio

Session 54 Recent Advances in Information Visualization Yihui Xie, RStudio (organizer) Sunday, July 31, 2016: 4:00 PM to 4:50 PM, CC-W183c

Session 85 Reproducibility Promotes Transparency, Efficiency, and Aesthetics Richard Schwinn Sunday, July 31, 2016 : 5:35 PM to 5:50 PM, CC-W176a

Session 88 Communicate Better with R, R Markdown, and Shiny Garrett Grolemund, RStudio (Poster Session) Sunday, July 31, 2016: 6:00 PM to 8:00 PM, CC-Hall F1 West

MONDAY

Session 106 Linked Brushing in R Hadley Wickham, RStudio Monday, August 1, 2016 : 8:35 AM to 8:55 AM, CC-W196b

Session 127 R Tools for Statistical Computing Monday, August 1, 2016 : 8:30 AM to 10:20 AM, CC-W196c

8:35 AM The Biglasso Package: Extending Lasso Model Fitting to Big Data in R — Yaohui Zeng, University of Iowa ; Patrick Breheny, University of Iowa 8:50 AM Independent Sampling for a Spatial Model with Incomplete Data — Harsimran Somal, University of Iowa ; Mary Kathryn Cowles, University of Iowa 9:05 AM Introduction to the TextmineR Package for R — Thomas Jones, Impact Research 9:20 AM Vector-Generalized Time Series Models — Victor Miranda Soberanis, University of Auckland ; Thomas Yee, University of Auckland 9:35 AM New Computational Approaches to Large/Complex Mixed Effects Models — Norman Matloff, University of California at Davis 9:50 AM Broom: An R Package for Converting Statistical Modeling Objects Into Tidy Data Frames — David G. Robinson, Stack Overflow 10:05 AM Exact Parametric and Nonparametric Likelihood-Ratio Tests for Two-Sample Comparisons — Yang Zhao, SUNY Buffalo ; Albert Vexler, SUNY Buffalo ; Alan Hutson, SUNY Buffalo ; Xiwei Chen, SUNY Buffalo

Session 270 Automated Analytics and Data Dashboards for Evaluating the Impacts of Educational Technologies Daniel Stanhope and Joyce Yu and Karly Rectanus Monday, August 1, 2016 : 3:05 PM to 3:50 PM, CC-Hall F1 West

TUESDAY

Session 276 Statistical Tools for Clinical Neuroimaging Ciprian Crainiceanu Tuesday, August 2, 2016 : 7:00 AM to 8:15 AM, CC-W375a

Session 332 Doing More with Data in and Outside the Undergraduate Classroom Mine Cetinkaya-Rundel, Duke University (organizer) Tuesday, August 2, 2016 : 10:30 AM to 12:20 PM, CC-W184bc

Session 407 Interactive Visualizations and Web Applications for Analytics Tuesday, August 2, 2016 : 2:00 PM to 3:50 PM, CC-W179a

2:05 PM Radiant: A Platform-Independent Browser-Based Interface for Business Analytics in R — Vincent Nijs, Rady School of Management 2:20 PM Rbokeh: An R Interface to the Bokeh Plotting Library — Ryan Hafen, Hafen Consulting 2:35 PM Composable Linked Interactive Visualizations in R with Htmlwidgets and Shiny — Joseph Cheng, RStudio 2:50 PM Papayar: A Better Interactive Neuroimage Plotter in R — John Muschelli, The Johns Hopkins University 3:05 PM Interactive and Dynamic Web-Based Graphics for Data Analysis — Carson Sievert, Iowa State University 3:20 PM HTML Widgets: Interactive Visualizations from R Made Easy! — Yihui Xie, RStudio ; Ramnath Vaidyanathan, Alteryx

WEDNESDAY

Session 475 Steps Toward Reproducible Research Yihui Xie, RStudio (Discussant) Wednesday, August 3, 2016 : 8:30 AM to 10:20 AM, CC-W196c

8:35 AM Reproducibility for All and Our Love/Hate Relationship with Spreadsheets — Jennifer Bryan, University of British Columbia 8:55 AM Steps Toward Reproducible Research — Karl W. Broman, University of Wisconsin - Madison 9:15 AM Enough with Trickle-Down Reproducibility: Scientists, Open This Gate! Scientists, Tear Down This Wall! — Karthik Ram, University of California at Berkeley 9:35 AM Integrating Reproducibility into the Undergraduate Statistics Curriculum — Mine Cetinkaya-Rundel, Duke University

Session 581 Mining Text in R David Marchette, Naval Surface Warfare Center Wednesday, August 3, 2016 : 2:05 PM to 2:40 PM, CC-W180

THURSDAY

Session 696 Statistics for Social Good Hadley Wickham, RStudio (Chair) Thursday, August 4, 2016 : 10:30 AM to 12:20 PM, CC-W179a

Session 694 Web Application Teaching Tools for Statistics Using R and Shiny Jimmy Doi and Gail Potter and Jimmy Wong and Irvin Alcaraz and Peter Chi Thursday, August 4, 2016 : 11:05 AM to 11:20 AM, CC-W192a

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