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
Fondren Library Collaboration Space, B43A
Registration Form
Academic Affiliation
Academic Role
For example, Fondren Calendar of Events, Email blast, Events@Rice, Fondren digital signage, word of mouth