How to Use R for Statistics

The Faculty Development Center, in partnership with ORDA, is pleased to host a 2-part workshop series on using R for statistical analysis. These workshops are ideal for those who are interested in or curious about learning to use R. We encourage you to bring your laptop and hope you will join us for one or both of the sessions. 

Introduction to R: Part I

Date and Time: Monday, March 28, 2022, 3:30-4:45 pm, in the Collaboratory (109B Halle), virtual attendance will be facilitated through Zoom

R is a very popular and open source statistical software for statistical computing, graphing and analysis. RStudio, an integrated development environment (IDE), makes working with R convenient and easy. Within RStudio, an R markdown is a file formatting software for producing html, word and pdf documents of completed analyses. This workshop provides a hands-on introduction to R. We start with the installation of R and RStudio software, and then work through a number of examples demonstrating how data can be entered into R, directly or from external resources, and perform basic statistical analysis via descriptive statistics and graphics.

Access the session recording here

Part I Follow Up Session

Date and Time: Monday, April 4, 2022, 4:00-5:00 pm, via Zoom

Join Dr. Khairul Islam for a follow up to Part I. This session will give you a chance to have questions answered and become more familiar using R in advance of Part II's session on Monday, April 11. Use the Zoom link below to join the session. 


Introduction to R: Part II

Date and Time: Monday, April 11, 2022, 3:30-4:45 pm, in the Collaboratory (109B Halle), virtual attendance will be facilitated through Zoom

The Part II R is an activity based hands-on workshop for participants who have never used R and have interest in learning statistical software for basic statistical analysis. We will work with getting data into R and then work through how to implement R for basic statistical analyses such as t-test, analysis of variance (ANOVA), chi-squared tests, simple linear regression, etc. Hand-outs will be provided with examples and applications.

Facilitator: 

  • Dr. Khairul Islam, Associate Professor, Department of Mathematics and Statistics

Register to attend the workshops using this form

Zoom Information

Topic: How to Use R for Statistics Part 2
Time: Apr 11, 2022 03:30 PM Eastern Time (US and Canada)

Join Zoom Meeting
https://emich.zoom.us/j/84002622634?pwd=MUNZM2NjSXFhc0tGbWFRSzlYK21PQT09 

Meeting ID: 840 0262 2634
Passcode: 710250
One tap mobile
+16468769923,,84002622634# US (New York)
+13017158592,,84002622634# US (Washington DC)

Dial by your location
        +1 646 876 9923 US (New York)
        +1 301 715 8592 US (Washington DC)
        +1 312 626 6799 US (Chicago)
        +1 408 638 0968 US (San Jose)
        +1 669 900 6833 US (San Jose)
        +1 253 215 8782 US (Tacoma)
        +1 346 248 7799 US (Houston)
Meeting ID: 840 0262 2634
Find your local number: https://emich.zoom.us/u/kb0ps9i7yY