HSLS MolBio Workshops

This course will consist of a flipped classroom – a pre-recorded video and a hands-on workshop – which will cover the basics of the R programming for data analysis and graphics. Upon completion participants will be able to:

• identify components of R interface
• perform simple calculations in R
• identify and compare data types in R
• use existing functions in R
• write simple functions in R
• load external packages in R 

Target Audience

Novice R users or anyone seeking to learn how to use R for data analysis and graphics. Neither programming experience nor familiarity with R is required.

Lecture Material

• Presentation Slides (.ppt)

• Lecture Video  - a video recording of a class offered on July 26, 2020

R Exercise Files

Practice Exercise 1

• Practice Exercise 1 - .zip file with practice exercise 1 and solutions (.rmd files)

• Practice Exercise 1 Solution Class Video - where the instructor walks you through the practice 1 exercise (offered on Jan 26, 2021)

Practice Exercise 2

• Practice Example 2 - .zip file with practice exercise 2 and solutions (.rmd files) - Cholesterol Study

• Practice Exercise 2 Solution Class Video (71 min) - where the instructor walks you through the practice exercises (offered on September 09, 2023)

Software Registration

• Download and Install R - from the Comprehensive R Archive Network webpage
• Download and install RStudio - The RStudio IDE is a set of integrated tools designed to help you be more productive with R. 

• An Introduction to R ( by W. N. Venables, D. M. Smith, and the R Core Team)
• R for Data Science
• R Cheatsheets
• Learning R (LinkedIn Learning)
• R Essential Training: Wrangling and Visualizing Data (LinkedIn Learning) 

Jenna C Carlson, PhD

Assistant Professor, Biostatistics

Assistant Professor, Human Genetics

E-mail: jnc35@pitt.edu

Feedback

• Please evaluate this class

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