Training Course Details

Introduction to R

Introduction to R

Course Level: Foundation

This is a one-day intensive course on R and assumes no prior knowledge. By the end of the course, participants will be able to import, summarise and plot their data. At each step, we avoid using “magic code”, and stress the importance of understanding what R is doing.

Online | June 2, 2021,

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Course Details

  • Course Outline
  • Learning Outcomes
  • Materials
  • Prior Knowledge

Course Outline

  • Introduction to R: A brief overview of the background and features of the R statistical programming system.
  • 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 the {ggplot2} package
  • Summary statistics: Measures of location and spread.
  • Manipulating data in R: Describing how data can be manipulated in R using logical operators and {dplyr}.
  • Vector operations: Details of R’s vectors operations.

Learning Outcomes

By the end of the day participants will be able to…

  • direct themselves around the R interface in an efficient way.
  • import and export their own data from spreadsheets and a number of other data storages to R.
  • summarise the data with R’s built in summary statistic functions.
  • plot data in interesting ways using {ggplot2}.
  • manipulate data using {dplyr} in ways such that they can efficiently analyse data.


  • Example course material for 'Introduction to R
  • Example course material for 'Introduction to R
  • Example course material for 'Introduction to R
  • Example course material for 'Introduction to R
  • Example course material for 'Introduction to R

Prior Knowledge

No prior programming knowledge of any kind is assumed. This course is suitable for all fields of work. Previous attendees include biologists, statisticians, accountants, engineers & students, i.e., anyone who uses a spreadsheet!

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