Intermediate R for Researchers

A hands-on guide to intermediate use of the R programming language and statistical software platform designed for researchers in the social, behavior, and medical sciences. Expand your skills in programming, data wrangling, visualization, and communication!

Instructor:
Jeffrey Girard, PhD (University of Kansas)

Workshop Dates and Times:
Wednesday, May 15, 2024, 9:30am to 4:30pm ET
Thursday, May 16, 2024, 9:30am to 4:30pm ET
Friday, May 17, 2024, 9:30am to 4:30pm ET

Workshop Format:
Three-Day Synchronous Online Workshop

R is a popular software option for analyzing, wrangling, and visualizing data in the social, behavioral, and medical sciences. It is completely free, runs on all major platforms (i.e., Windows, Mac, and Linux), and offers a rich catalog of tools and techniques that are updated frequently. It is an excellent choice for a first programming language and provides all the computational tools that most applied researchers will ever need.

This workshop picks up where the Introduction to R for Researchers workshop leaves off, focusing on intermediate use of R for programming, data wrangling, visualization, and communication. The skills taught within this workshop are foundational to automating research tasks (which can save considerable time, reduce human error, and enhance scientific transparency/reproducibility), preparing research data for advanced analysis (e.g., reshaping data for techniques such as multilevel modeling, structural equation modeling, or machine learning), and effectively communicating research results (e.g., to the scientific community, stakeholders, or customers). Although these skills are more advanced than those learned by most applied researchers during standard training, the workshop teaches them in a highly accessible manner that emphasizes their practical applicability and utility for social, behavioral, and medical scientists.

What you’ll learn

  • Data Wrangling

    Summarize Tabular Data with Ease, Quickly Iterate Operations Over Columns and Rows, Flexibly Reshape Research Data, and Accurately Join Related Data from Multiple Sources

  • Programming

    Manipulate Strings (i.e., text), Manipulate Factors (i.e., categories), Manipulate Dates and Times, Control Flow with Conditional Logic, Write Custom Functions, and Iterate Operations Functionally

  • Data Visualization

    Customize Plots with Scales, Labels, and Themes; Contextually Highlight Subsets of Data; Combine Multiple Plots into Complex Layouts; and Flexibly Export Figures to Various Image Files

  • Data Communication

    Improve your Code Style for Readability, Control the Behavior of Code Chunks in Quarto Documents, and Learn More About the Authoring Options Provided by the Quarto System

Registration Options

Intermediate R for Researchers

  • Professional
  • $824
  • Baseline Price for Faculty,
    Staff, and Other Professionals
  • Click Register Below
  • Trainee
  • $824 $549
  • 33% Discount for
    Students and Postdocs
  • Use code "TRAINEE" at Checkout

Combo 1: Intermediate R for Researchers + Introduction to R for Researchers

  • Professional
  • $1423 $1139
  • Baseline Price for Faculty,
    Staff, and Other Professionals
  • 20% Combination Discount
  • Click Register Below
  • Trainee
  • $1139 $759
  • 33% Discount for
    Students and Postdocs
  • 20% Combination Discount
  • Use code "TRAINEE" at Checkout

 FAQs

  • This workshop was custom built for researchers in the social, behavioral, and medical sciences who work with data but may not have received much (if any) formal education in programming or data science. It is designed to be much more accessible to such learners than many other trainings available online that target more technical fields (e.g., computer scientists). This workshop is intermediate and appropriate for faculty, staff, and students at both the graduate and advanced undergraduate levels.

  • This workshop assumes that attendees have completed the Introduction to R for Researchers workshop (a combination discount is available to learners who register for both) or already know all the material taught within it (i.e., basic knowledge of R and RStudio, Quarto, readr, dplyr, and ggplot2).

  • Registered learners will gain access to the Zoom link and passcode to attend the synchronous workshop, as well as video recordings of the lectures, downloadable slideshows, and example data files.