Basic Statistics in R

Suggested Prerequisites:

Basic familiarity with R and with introductory statistics.

Overview:

This course introduces basic statistical analysis in R, including the following:

  • Descriptive statistics
  • Contingency tables
  • Chi-square test
  • t test (independent and dependent)
  • Analysis of Variance and post-hoc tests
  • Correlation
  • Linear regression
  • Checking the assumptions of a regression model
  • Logistic regression

Instructions for installing R and RStudio

Contact information:

Please email mrsmith@rice.edu if you have questions about the Data@Rice workshop series.

For more information about other data courses at Rice, visit https://library.rice.edu/services/data-workshops, or contact researchdata@rice.edu

Date/Time
-
Location
Online via Zoom. The link will be emailed to registrants the week of the workshop.
Registration Form
Academic Affiliation
Academic Role
For example, Fondren Calendar of Events, Email blast, Events@Rice, Fondren digital signage, word of mouth