Introduction to R Programming
Introduction to R Programming
Base R programming skills, introductory statistical analysis and graphics, simulation of introductory statistical concepts.
Hours | 1.5 Credit, 1.5 Lecture, 1.5 Lab |
Prerequisites | STAT 121; or STAT 201 |
Recommended | It is strongly suggested that STAT 130 be taken concurrently with or before STAT 123. |
Taught | Fall Term 2, Winter Term 2, Spring |
Programs | Containing STAT 123 |
Course Outcomes:
Install R
Install R, R packages, and R workbench
Import and export raw data files
Import and export raw data files (e.g. text, excel, csv, etc.). This includes different variable types (numeric, character, date, time currency, etc.)
Manipulate and transform data
Manipulate and transform data
Create R objects
Create R objects (e.g. matrices, data frames, lists, etc.)
Create reports
Create basic detail and summary reports
Debugging R code
Identify and correct data, syntax, and programming logic errors
Use R statements and packages
Use R statements and packages to:
- Compute numerical statistics used in introductory statistics
- Create simple graphs and charts used in introductory statistics