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R 2: Basic Data Analysis in R

R 2: Basic Data Analysis in R

This workshop is the second of a two-part series on R using RStudio. R is a statistical software package that is rapidly being adopted both in academia and industry for analysis. R is widely used by scientists throughout the social and physical sciences for analysis of quantitative data ranging from simple descriptive analysis to complex statistical modeling.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Opening data
  • Regression analysis
  • Generating variables

Prerequisites: R 1: Introduction to R Workshop.

NOTE:

  • This is the second workshop in a two-part series (R 1 is the first).
  • R is a free program. Please feel free to download R and RStudio and bring in your own laptop if you prefer to work on your own machine.
  • This workshop is for the Windows version of R and RStudio.
  • Please read our Workshops ~ Etiquette & Policies page for pertinent information to your workshop attendance.

Presenter: Raeda Anderson, Ph.D., Quantitative Data Specialist and member of the Library's Research Data Services Team

 

Want to get RDS@GSU Data Certified?

Learn more here!

 

 

IMPORTANT: 

  • RDS workshops will no longer have registration but instead will be on a first-come-first-serve basis: The first 25 people to arrive *on time* will be able to attend the workshop.

  • Workshop instructors may choose to refuse admittance to those arriving more than 5 minutes late.

Related LibGuide: Research Data Services @ Georgia State University Library by Mandy Swygart-Hobaugh

Date:
Tuesday, April 14, 2020
Time:
7:00pm - 9:00pm
Location:
Classroom 2, Library North 2
Campus:
Downtown Campus Library
Categories:
  Data Services Workshops  

Event Organizer

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Raeda Anderson

Assistant Professor and Quantitative Data Specialist

Dr. Anderson's profile

 

Profile photo of Mandy Swygart-Hobaugh
Mandy Swygart-Hobaugh