Introduction to R Programming

Introduction to R Programming
Base R programming skills, introductory statistical analysis and graphics, simulation of introductory statistical concepts.
 Hours1.5 Credit, 1.5 Lecture, 1.5 Lab
 PrerequisitesSTAT 121; or STAT 151; or STAT 201
 TaughtFall Term 2, Winter Term 2
 ProgramsContaining 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:

  1. Compute numerical statistics used in introductory statistics
  2. Create simple graphs and charts used in introductory statistics
  3. Create simple simulation studies (e.g. Central Limit Theorem, Confidence Intervals, Power, etc.)