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Keyword Search Criteria: R returned 30 record(s)
Monday, 07/30/2018
Creating Custom Take Home Exams for Statistics Courses with R Markdown
Michael Rutter, Penn State Erie, The Behrend College


Predicting Student Performance in Undergraduate Introductory Statistics Courses
Dusty Turner, USMA


Introducing R to Non-STEM Undergraduates in a Second-Semester Statistics Course
Darlene Olsen, Norwich University


Statistical Programming to Principles of Data Science: Rethinking the Traditional Statistical Programming Curricula
Andrew Hoegh, Montana State University


Introducing R to Non-STEM Undergraduates in a Second-Semester Statistics Course
Darlene Olsen, Norwich University
8:35 AM

Statistical Programming to Principles of Data Science: Rethinking the Traditional Statistical Programming Curricula
Andrew Hoegh, Montana State University
8:50 AM

The Extended Reproducibility Phenotype - Interactive Graphics Edition
Gabriel Becker, Genentech Research; Vivek Ramaswamy, Genentech Research; Nolan Nichols, Genentech Research; Altaf Kassam, Genentech Research; Dinakar Kulkarni, Genentech Research
9:05 AM

Predicting Student Performance in Undergraduate Introductory Statistics Courses
Dusty Turner, USMA
9:35 AM

Calendar-Based Graphics for Visualizing People's Daily Schedules
Earo Wang, Monash University; Dianne Cook, Monash University; Rob J Hyndman, Monash University
11:20 AM

Version Control: The Gain You Get for Your Pain
Jennifer Bryan, RStudio, University of British Columbia
2:05 PM

Aligning Inference with the Tidyverse: Development of the Infer Package
Andrew Paul Bray, Reed College
3:05 PM

CiTools: Quantifying Uncertainty for Statistical Models in R
Matthew Avery
3:25 PM

Tuesday, 07/31/2018
Julia Versus R
Paul McNicholas, McMaster University


Accessible Statistical Reports in R: Using R, Markdown, and Word to Create Accessible Reproducible Documents
Robert Montgomery, NORC; Peter Herman, NORC at the University of Chicago; Qiao Ma, NORC at the University of Chicago; Stephen Schacht, NORC at the University of Chicago


Random Forests for Big Data
Jean-Michel Poggi, LMO, University Paris Sud; Robin Genuer, ISPED, Univ. Bordeaux ; Nathalie Villa-Vialaneix, MIA-T, INRA of Toulouse; Christine Tuleau-Malot , University Nice, CNRS, LJAD
8:55 AM

Accessible Statistical Reports in R: Using R, Markdown, and Word to Create Accessible Reproducible Documents
Robert Montgomery, NORC; Peter Herman, NORC at the University of Chicago; Qiao Ma, NORC at the University of Chicago; Stephen Schacht, NORC at the University of Chicago
10:40 AM

KableExtra: Complex Table Made Easy
Hao Zhu, Institute for Aging Research; Timothy Tsai, Institute for Aging Research; Thomas G Travison, Institute for Aging Research
11:35 AM

Harnessing the Power of the Web via R Clients for Web APIs
Lucy D'Agostino McGowan, Vanderbilt University
2:05 PM

Neuroconductor: An R Platform for Medical Imaging Analysis"
John Muschelli, Johns Hopkins University
2:45 PM

Intro Stats and Intro Data Science: Do We Need Both?
Mine Cetinkaya-Rundel, Duke University
3:05 PM

Harnessing the Power of Open Data on the Web
Karthik Ram, University of California, Berkeley; Scott Chamberlain, University of California, Berkeley
3:20 PM

Wednesday, 08/01/2018
Using Open-Source Software in Government Agencies
Wendy L Martinez, Bureau of Labor Statistics


Ggdag and Confoundr: R Packages for Causal Inference with DAGs and Data
Malcolm Barrett


The CFR Miner: Natural Language Processing of the Code of Federal Regulations Using R Studio and Shiny
Richard Schwinn, U.S. Small Business Administration
9:15 AM

The CloudyR Project: Statistical Cloud Computing in R with Amazon and Google
Thomas J. Leeper, London School of Economics
10:35 AM

Distributed Data Science with Sparklyr
Javier Luraschi, RStudio; Kevin Kuo, RStudio
11:05 AM

Making Ggplot2 Accessible
Paul Murrell, Univ of Auckland; Debra Warren, The University of Auckland; A Jonathon Godfrey, Massey University
2:05 PM

Thursday, 08/02/2018
Deferred Evaluation for Scalable Computing in R
Michael Lawrence, Genentech
10:55 AM

Leveraging "Medium-Sized" Data for Statistical Inference and Model Estimation of Data Gaps in International Energy Statistics Using R
Glendon Haynes, Energy Information Administration
11:20 AM

Automatic Parallelization of R Code
Clark Fitzgerald, University of California, Davis
11:35 AM