Programming in R Seminar

Programmin in R Statistics Training Seminar

An introductory 3-day seminar introducing programming using R to read, reorganize, visualize, and analyze data.

R is a freely available, open source software platform that is growing in both popularity and capacity. The first part of the seminar introduces the logic of R’s primary data structures and how to work with functions. The second part of the seminar covers tools and best practices for cleaning, manipulating, and visualizing data. It also introduces the concept of reproducibility as a fundamental tenet of high-quality data analysis.

Participants will receive an electronic copy of all seminar materials, including lecture slides, practice datasets, software scripts, relevant supporting documentation, and recommended readings. Participants will also have access to a video recording of the seminar.

Spring Camp: February 6 – 8, 2020
Atlanta, GA – Embassy Suites


FAQ –  Hotel Booking
$1,295 Faculty/Professional or $945 Student/Post-Doc

Payment Options
Details Per Course Select Option
Professionalshow details + $1,295 (USD)  
Studentshow details + $945 (USD)  

SEMINAR BEGINS – 9AM February 6, 2020

Address: 3285 Peachtree Road NE. Atlanta, GA 30305

Hotel Reservations: Follow link above or call the reservations team at 404-266-4828. Group rate has expired, you will need to book a room at the standard rate.

Room Start date: February 5, 2020
Room End date: February 9, 2020

Scheduled Social Event: 5:30 – 7:30pm in the Mezzanine area at the Embassy Suites Buckhead on 2/6/20 for all attendees. Please wear your Stats Camp name badges to claim your free drink ticket.

Lunch, snacks and drinks including coffee,
tea, and water will be provided daily. 

Seminar fee includes all materials, downloads, software access, training, refreshments and access to a recorded video of seminar:

Enrollment is open to public, students, graduates and professionals. Save a seat today, pay later.

Topics include:

  • Running R and installing packages from CRAN
  • Data structures
  • Simple programming
  • Reading in and reshaping datasets
  • Visualizing data and basic statistical analyses
  • R Markdown for organization and reproducibility

Note: This seminar will not provide an in-depth coverage of statistical modeling.

Learning Objectives

After engaging in seminar lectures and discussions as well as completing the hands-on practice activities with real data, participants will be able to:

  • Write R programs/scripts
  • Read in data from a variety of formats
  • Clean, manipulate, and organize data
  • Create clear, information-rich graphical displays of data
  • Run data analysis projects that are well organized and fully reproducible

Participants will also complete the seminar with a foundation for future learning about R programming and knowledge about available resources to guide such endeavors.

Syllabus

Thursday February 6, 2020
9:00-9:30 Welcome and introductions
9:30-10:45 A first look at R and the R environment
10:45-11:00 Snack and refreshment break
11:00-12:30 Reading in data
12:30-1:30 Lunch break
1:30-3:00 Working with vectors
3:00-3:15 Snack and refreshment break
3:15-5:00 Data frames and lists
Friday February 7, 2020
9:00-10:45 Matrices, arrays, factors, and strings
10:45-11:00 Snack and refreshment break
11:00-12:30 Writing helper functions
12:30-1:30 Lunch break
1:30-3:00 Group-wise data manipulation
3:00-3:15 Snack and refreshment break
3:15-5:00 Reshaping and merging
Saturday February 8, 2020
9:00-10:45 Visualizing data
10:45-11:00 Snack and refreshment break
11:00-12:30 Data analysis
12:30-1:30 Lunch break
1:30-5:00 One-on-one consultations with instructor

Instructor: Audrey Leroux Ph.D.

Dr. Audrey Leroux (aleroux@gsu.edu), is an Assistant Professor of Research, Measurement, and Statistics in the Department of Educational Policy Studies at Georgia State University’s College of Education and Human Development. She received her doctorate in Quantitative Methods in the Department of Educational Psychology at The University of Texas at Austin under the mentorship of Dr. Tasha Beretvas. Dr. Leroux teaches graduate courses in regression, introductory and advanced multilevel modeling, and programming in R. She has also taught previous Stats Camp workshops on multilevel modeling. Her research evaluates innovative models and applications in computerized adaptive testing and multilevel modeling. Specifically, her publications have focused on novel procedures within item exposure controls and stopping rules in computerized adaptive testing, as well as extensions to conventional multilevel modeling that handle individual mobility (e.g., cross-classified random effects modeling and multiple membership random effects modeling).

Software and Computer Support

Participants need to bring a laptop computer with Wi-Fi capabilities with the current version of R and RStudio installed; both are free and available for Windows, Mac, and Linux at cran.r-project.org and rstudio.com.

Seminar Prerequisites

Required:

  • Limited experience in basic statistical analysis, such as simple linear regression

Not required but advantageous:

  • At least limited experience programming in any computer language
  • At least limited experience creating plots and tables of data or data summaries

No level of proficiency beyond basic awareness is assumed for skills related to:

  • Data formats, such as strings, factors, dates and times, vectors, and data frames
  • Advanced mathematical or statistical topics such as matrix algebra, calculus, or likelihood theory

Seminar Files

Below are links to seminar files for those who enrolled in the seminar. Please download these files onto your computer on the first day of the seminar. The files are password protected to respect the intellectual property rights of the instructors. By using your login information, you agree not to share your login information or the content protected by it.

Seminar files and downloads will be posted on the first day of class.

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Seminar Resources
  • Breakfast (Embassy guests), Lunches, & Snacks Daily