R 2: Basic Data Analysis in R
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R 2: Basic Data Analysis in R In-Person
This workshop is the second of a two-part series on R. 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:
- Regression analysis
- Graphing
- T-test
- ANOVA
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 bring in your own laptop if you prefer to work on your own machine.
- This workshop is for the Windows version of R.
- 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
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IMPORTANT: Effective Fall 2019 semester:
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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.
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Workshop instructors may choose to refuse admittance to those arriving more than 5 minutes late.
Related LibGuide: *RESEARCH DATA SERVICES (RDS) @ Georgia State University Library by Mandy Swygart-Hobaugh