Looking for R at JSM

July 27, 2017
By

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

I am very much looking forward to attending JSM which begins this Sunday. And once again, I will be spending a good bit of my time hunting for new and interesting applications of R. In years gone by, this was a difficult game at JSM because R, R Package, Shiny, tidyverse and the like did not often turn up in a keyword search. This year, however, there is quite a bit of low hanging fruit. Below twenty-five sessions are listed by their JSM Activity Number.

If you are going to the conference, try to work some of these into your program, and please feel free to write to me ([email protected]) if you see an R related talk that was particularly interesting.

Sunday, 07/30/2017

24 – Acc: An R Package to Process, Visualize, and Analyze Accelerometer Data Jae Joon Song, University of Texas Health Science Center; Michael Swartz, The University of Texas Health Science Center At Houston, School of Public Health; Matthew G. Cox, University of Texas MD Anderson Cancer Center; Karen Basen-Engquist, University of Texas MD Anderson Cancer Center

83 – R Package TDA for Statistical Inference on Topological Data Analysis Jisu Kim, Carnegie Mellon University

Monday, 07/31/2017

118 – Identification of Potentially Problematic Prescribing to a Vulnerable Population Ryan Jarrett; Richard Epstein, Chapin Hall at the University of Chicago; Michael Cull, Vanderbilt University; David Schlueter, Vanderbilt University; Kathy Gracey, Vanderbilt University; Molly Butler, Vanderbilt University; Rameela Chandrasekhar, Vanderbilt University

159 – No Punt Intended Nicholas Eisemann, California State Univ Chico; Camille Pensabene, St. John Fisher College; Dylan Gouthro, Chico State; Demond Handley, Kansas State University ; MyDoris Soto, California State University-Fullerton

159 – A Shiny App for Investigation of NHL Draft Pick Career Trajectories James White, St. Lawrence University; Michael Schuckers, St. Lawrence University 162 – Forced Migration: Visualizing Patterns of Refugee Movements Jacquelyn Neal, Vanderbilt University; Hannah E Weeks, Vanderbilt University

171 – Developing a Web-Based Tool to Evaluate Survey Performance Using R Shiny Scott Fricker, U.S. Bureau of Labor Statistics; Jeffrey Gonzalez, Bureau of Labor Statistics; Randall Powers, US Bureau of Labor Statistics

182 – Identification of Potentially Problematic Prescribing to a Vulnerable Population Ryan Jarrett; Richard Epstein, Chapin Hall at the University of Chicago; Michael Cull, Vanderbilt University; David Schlueter, Vanderbilt University; Kathy Gracey, Vanderbilt University; Molly Butler, Vanderbilt University; Rameela Chandrasekhar, Vanderbilt University

243 – An R Shiny Foundation for Standardized Clinical Review Tools Jimmy Wong, FDA

250 – A Shiny App for Investigation of NHL Draft Pick Career Trajectories James White, St. Lawrence University; Michael Schuckers, St. Lawrence University 253 – Forced Migration: Visualizing Patterns of Refugee Movements Jacquelyn Neal, Vanderbilt University; Hannah E Weeks, Vanderbilt University

Tuesday, 08/01/2017

279 – Wilcoxon Rank-Based Tests for Clustered Data with R Package Clusrank Jun Yan, University of Connecticut; Yujing Jiang, University of Connecticut; Mei-Ling Ting Lee, University of Maryland; Xin He, University of Maryland, College Park; Bernard Rosner, Harvard Medical School

358 – Contextualizing Sensitivity Analysis in Observational Studies: Calculating Bias Factors for Known Covariates (Note this is also listed as Activity Number 252) Lucy D’Agostino McGowan; Robert A Greevy, Jr, Vanderbilt University

389 – Applications of Interactive Exploration of Large Multi-Panel Faceted Displays Using Trelliscope — Ryan Hafen, Purdue University

389 – Extracting Insights from Genomic Data via Complex Interactive Heatmaps — Alicia Schep, Stanford School of Medicine

389 – Visualizing the Changing Landscape of Software Developers — David Robinson, StackOverflowcom

Wednesday, 08/02/2017

454 – An R Package for Spatio-Temporal Change of Support Andrew Raim, U.S. Census Bureau; Scott H. Holan, University of Missouri; Jonathan R Bradley, Florida State University; Christopher Wikle, University of Missouri

504 – Discriminative Power and Variable Selection in Logistic Regression Models under Outcome Misspecification Jia Bao, NYU Langone Medical Center; Yongzhao Shao, New York University-School of Medicine

518 – EyeTrVis: An R Package for the Extraction and Visualization of Eye Tracking Data from People Looking at Posters — Chunyang Li ; Jurgen Symanzik, Utah State University

518 – In with the New: a Shiny App for Exploring Summary Data Tables from the Medical Expenditure Panel Survey — Emily Mitchell, Agency for Healthcare Research and Quality

518 – RCAP Designer: Creating Analytical Dashboards on the RCloud Platform — Robert Archibald, Macrosoft Inc ; Ganesh Subramaniam, AT&T ; Simon Urbanek, AT&T Labs Research

518 – Standardizing Assessment of Time-Series Forecasting Models — Nicholas G. Reich, University of Massachusetts Amherst ; Joshua Kaminsky, Johns Hopkins Bloomberg School of Public Health ; Lindsay Keegan, Johns Hopkins Bloomberg School of Public Health ; Stephen Lauer, University of Massachusetts – Amherst ; Krzysztof Sakrejda, University of Massachusetts – Amherst ; Justin Lessler, Johns Hopkins Bloomberg School of Public Health

543 – Discussing the Uses and Creation of R Shiny Applications Justin Post, North Carolina State University

548 – A girl geek’s guide to new research on interactive data visualization for statistics with lots of data — Dianne Cook, Monash University

587 – Ggmapr – Tools for Working with and Visualizing Maps Heike Hofmann, Iowa State University

Thursday, 08/03/2017

599 – Guiding Principles for Interactive Graphics Based on LIBD Data Science Projects Leonardo Collado-Torres, Lieber Institute for Brain Development; Bill Ulrich, Lieber Institute for Brain Development; Stephen Semick, Lieber Institute for Brain Development; Andrew E Jaffe, Lieber Institute for Brain Development

599 – Interactive Data Visualization on the Web Using R — Carson Sievert, Carson Sievert

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