Programming and Data Literacy Using R Credit Hours: 4 hours Elementary statistical analysis and data manipulation in R. Topics include algorithms, programs, and computing in R. Fundamental techniques of program development in R. Programming projects and applications. Hands-on experience of data input/output and formatting, brief introduction to object-oriented programming, introduction to statistical computing and very elementary data analysis and graphics. 3 hours lecture and 2 hours lab per week. Prerequisites: STAT 2000 or STAT 2100H or STAT 2010 Prerequisite or Correquisite: STAT 4210 Semester Offered: Fall Spring Summer Level: Undergraduate
