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Part 1: 4/11/2024, 9.00 am - 12.30 pm 

Part 2: 5/11/2024, 9.00 am - 12.30 pm 

Course Outline

Introduction to R: A brief overview of the background and features of the R statistical programming.

• Data entry: A description of how to import and export data to R from CSV, files, Excel spreadsheets, SAS and SPSS.
• Data types: A summary of R’s data types.
• R environment: A description of the R environment including the R working directory, creating/using scripts, saving data and results.
• R graphics: Creating, editing and storing graphics in R – a brief introduction to {ggplot2}.
• Summary statistics: Measures of location and spread.
• Manipulating data in R: Manipulating data in R using logical operators and {dplyr}.
• Vector operations: Details of R’s vectors operations.