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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.
Vector operations: Details of R’s vectors operations.

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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 in ways such that they can efficiently analyse data.

Materials

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! Participants should bring a laptop.

Attendee Feedback

“John spoke at a nice pace which allowed me to digest what was being said/keep up; regular breaks - to keep the brain alert (or at least helped!!)”
“Very interesting course and plenty of resources to look into”
“Highly knowledgeable trainers”
“Flowed well, easy to follow, and clear instructions”
“Our instructor Theo was great, I had never used R and was able to keep up with everything going on”

Training Course Details

Introduction to R

Course Level: Foundation