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.

PowerPoint, R Codes, and Data Folder

• Presentation Slides (.ppt)
• Lecture Video  - a video recording of a class offered on July 26, 2020
• Practice_Exercise_v1 (.Rmd file) - the practice exercises for students
• Practice_Exercise_Solutions_v1 (.Rmd file) - R commands used to solve the practice exercise
• Practice Exercise_v1 Solution Class Video - where the instructor walks you through the practice exercises (offered on Jan 26, 2021)
• Practice Exercise _v2 (.Rmd file) (posted on June 23, 2021) - the practice exercises for students
• Practice Exercise_v2 solution (.Rmd file) - R commands used to solve the practice exercise - Cholesterol study
• Practice Exercise_v2 solution (.html) - R commands used to solve the practice exercise - Cholesterol study
• Practice Exercise_v2 solution class video (85 mins)- where the instructor walks you through the practice exercises (offered on Feb 02, 2022)
• Practice Exercise_v2 solution class video (56 min) - where the instructor walks you through the practice exercises (offered on Feb 16, 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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