Great Plains R-Users Group Conference
May 29 &
30 , 2014
On the Campus of Dordt College — Sioux Center, IA
Registration / sign-up for workshops takes place as part of the conference registration process.
NOTE: Lunch will be provided for all workshop participants
Introduction to R Workshops
Paul Teetor, Quant Development LLC
8:00 AM - 12:00 PM
1:00 PM - 5:00 PM
FEES: $200 for one session, $275 for both sessions
Teaching the Statistical Investigation Process with Randomization-Based Inference
Nathan Tintle, Dordt College
9:00 AM - 4:00 PM
FEE: No cost to attend due to NSF grant
This full-day workshop is intended for high school teachers and faculty members who have experience with or soon will be teaching introductory statistics, AP statistics or an equivalent course. The goals of this workshop are to help participants to revise their introductory statistics course in two ways:
The workshop will provide direct experience with hands-on activities designed to introduce students to fundamental concepts of inference using randomization-based methods. The learning activities involve using freely available applets to explore concepts and analyze real data from genuine research studies. The presenter will also offer implementation and assessment suggestions during these activity-based sessions and discussion sessions based on the experiences of the Introduction to Statistical Investigations curriculum development project (authors: Nathan Tintle, Beth Chance, George Cobb, Allan Rossman, Soma Roy, Todd Swanson, and Jill VanderStoep). More information about the project on which this workshop is based can be found at: www.math.hope.edu/isi.
This workshop is supported by a grant from the National Science Foundation (DMS: 1323210).
The Introduction to R Workshop
is a hands-on experience. Students learn about R by doing R. The instructor
introduces each topic, then the class explores the topic through guided
The workshop is divided into two sessions, morning and afternoon. The morning session is for newcomers with little or no prior exposure to R. We start with the mechanics of using R, how to get help, understanding basic data structures, and how to access datasets. We move through descriptive statistics, common graphs, and fundamental statistical tests. We end with tips for using R efficiently and tapping into the vast ecosystem of R.
The afternoon session picks up where the morning session left off. It covers next-level topics in data structures, statistical tests, and graphics, letting participants move beyond the basics. It continues with topics in linear regression, including simple regression, multiple regression, categorical predictors, and interaction terms. It ends with one or more additional topics in regression, such as doing ANOVA or generalized linear models in R.
Participants are expected to have R and RStudio installed on their laptops before the workshop begins. They will receive instructions beforehand for installing the software.
R-Users Main Website