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:

• 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.