An R Users Guide to JSM 2016

July 28, 2016
By

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

by Joseph Rickert

My impression is that the JSM has become ever more R friendly over recent years, but with two sessions organized around R tools and several talks featuring R packages, this year may turn out to be the beginning of a new era where conference organizers see value in putting R on the agenda and prospective speakers perceive it to be advantageous to mention R, an R package or a Shiny App in their abstract. 

As should be expected, the vast majority of the presentations will focus on statistics or the application of statistical methods, and not on the underlying computational platform. Nevertheless, based on past experience I would be very surprised if there is not quite a bit more R talk buzzing around the conference. 

If you are going to Chicago please stop by the Microsoft booth 232. We would be happy to tell you how we are using R at Microsoft and even more interested in hearing your opinion about what Microsoft should be doing with R. Also look for us at the opening night mixer (Sunday 6 – 8PM in the Expo Hall) and the Student Mixer (Monday 6 – 7:30PM in the Chicago Hilton Hotel)

Here follows my R Users Guide to JSM 2016. I have organized the talks by session number and included information on times and room numbers.

Session 21 Statistical Computing and Graphics Student Awards – Contributed papers
Sun, 7/31/2016, 2:00 PM – 3:50 PM – Room: CCW175b

2:25 PM

The PICASSO Package for High Dimensions Nonconvex Sparse Learning in R — Xingguo Li ; Tuo Zhao, The Johns Hopkins University ; Tong Zhang, Rutgers University ; Han Liu, Princeton

3:05 PM

Using the Geomnet Package: Visualizing African Slave Trade, 1514–1866 — Samantha Tyner, Iowa State University

3:25 PM

Xgboost: An R Package for Fast and Accurate Gradient Boosting — Tong He, Simon Fraser University

Session: 47 Making the Most of R Tools  – Invited papers
Sun, 7/31/2016, 4:00 PM – 5:50 PM – Room: CC-W183b

4:05 PM

Thinking with Data Using R and RStudio: Powerful Idioms for Analysts — Nicholas Jon Horton, Amherst College; Randall Pruim, Calvin College ; Daniel Kaplan, Macalester College

4:35 PM

Transform Your Workflow and Deliverables with Shiny and R Markdown — Garrett Grolemund, RStudio

Session 127: R Tools for Statistical Computing – Contributed papers
Mon, 8/1/2016, 8:30 AM – 10:20 AM – Room: 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 247: Better Communication with Statistical Graphics – Contributed papers
Mon, 8/1/2016, 2:00 PM – 3:50 PM – Room CC W184bc

2:35 PM

The Linked Microposter Plot as a New Means for the Visualization of Eye-Tracking Data — Chunyang Li, Utah State University ; Juergen Symanzik, Utah State University

2:50 PM

Optimizing Diffusion Cartograms for Areal Data Using a New Evaluation Method — Xiaoyue Cheng, University of Nebraska – Omaha

3:35 PM

Interactive Graphics for Functional Data Analyses — Julia Wrobel, Columbia University ; Jeff Goldsmith, Columbia Mailman School of Public Health

Session 349: Applications of Regression Trees on Sample Data – Contributed papers
Tue, 8/2/2016, 10:30 AM – 12:20 PM – Room W184a

10:55 AM

Modeling Survey Data with Regression Trees — Daniell Toth, Bureau of Labor Statistics

Session 530: Applications in Drug Development – Contributed papers
Wed, 8/3/2016, 10:30 AM – 12:20 PM – Room: CC W187a

11:15 AM

Facilitating Clinical Trial Simulation in Alzheimer's Disease Using the CAMD IPD, Literature Summary Level Data, and the 'adsim' R Package — Daniel Polhamus, Metrum Research Group

Session 353:  Statistical Learning and Data Science – Contributed speed presentations
Tue, 8/2/2016, 10:30 AM – 12:20 PM – Room: CC-W181a

10:55 AM

An R Package Enabling Likelihood-Based Inference for Generalized Linear Mixed Models — Christina Knudson

Session 354: Business, Finance and Economic Statistics – Contributed speed presentations
Tue, 8/2/2016, 10:30 AM – 12:20 PM – Room: CCW181b

12:00 PM

Optimal Stratification of Univariate Populations via StratifyR Package — Karuna Garan Reddy, University of the South Pacific ; Mohammed G. M. Khan, University of the South Pacific

Posters

Session 88: The Extraordinary Power of Data – Invited Poster Presentations
Sun, 7/31/2016, 6:00 PM – 8:00 PM – Room CC-Hall F1 West

1: Communicate Better with R, R Markdown, and Shiny — Garrett Grolemund, RStudio

Session 203: Environmental Statistics – Contrbuted Poster Presentations
Mon, 8/1/2016, 11:35 AM – 12:20 PM – Room: CC- Hall F1 West

6: Using the R Caret Package as a Teaching Tool for Topics in Classification and Prediction Methods: A Case Study —Keith Williams, University of Arkansas for Medical Sciences

Session 376: Posters on Statistics in Genomics and Genetics
Tue, 8/2/2016, 10:30 AM – 12:20 PM – Room: CC Hall F1 West

51: BANFF: An R Package for BAyesian Network Feature Finder — Zhou Lan, North Carolina State University ; Yize Zhao, Statistical and Applied Mathematical Sciences Institute ; Jian Kang, University of Michigan ; Tianwei Yu, Emory University

Session 449: Posters Statistical Learning and Data Science
Tue, 8/2/2016, 2:00 PM – 2:45 PM– R CC_Hall F1 West

15: An R Package Enabling Likelihood-Based Inference for Generalized Linear Mixed Models — Christina Knudson

Session 453: Posters on Business and Economic Statistics
Tue, 8/2/2016, 3:05 PM – 3:50 PM – Room: CC Hall F1 West

27: Optimal Stratification of Univariate Populations via StratifyR Package — Karuna Garan Reddy, University of the South Pacific ; Mohammed G. M. Khan, University of the South Pacific

Session 556: Posters on Statistical Computing
Wed, 8/3/2016, 10:30 AM – 12:20 PM – Room CC-Hall F1 West

31: Lucid: An R Package for Pretty Printing Floating Point Numbers — Kevin Wright, DuPont Pioneer

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