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Course Details

Course Outline
Learning Outcomes
Materials
Prior Knowledge

Course Outline

Introduction to the different graphics packages
Introduction to the fantastic {ggplot2} package
Groups, geoms, stats and layers within {ggplot2}
Scales, axes and legends
Facets, colour themes and general themes

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Learning Outcomes

By the end of the day participants will…

have a thorough understanding of how different graphics packages in R work, in particular {ggplot2}
be able to efficiently plot their own data in eye catching ways within seconds, including:
- barplots
- histograms
- heatmaps
- scatter plots
- density plots
- many more
be able to customise their graphs with colour schemes, themes, fonts and grid layouts.

Materials

Prior Knowledge

A basic knowledge of R is assumed for this course. In particular, attendees should be familiar with the topics covered in the introduction to R course. This course will be a mixture of lectures and computer practicals. The goal is to enable participants to apply the techniques covered to their own data. This course is suitable for all fields of work. Previous attendees include biologists, statisticians, accountants, engineers & students, i.e., anyone who uses a spreadsheet!

Attendee Feedback

“The instructor was incredibly effective - good communication, and good time management, and well-prepared material! I really liked how the instructor “parked” student questions so as to not get off-topic, and then came back with answers at a more appropriate time! No time wasted setting up software!”
“Sometimes plotting our data/results is something that we HAVE TO do, but I’ve just discovered how fun it can be. Rhian was a great teacher and also gave us many external resources to get ideas and improve our skills.”
“Theo was an excellent teacher and the course was very good. Thank you.”
“Overall, a great course and look forward to attending more!”

Training Course Details

Advanced Graphics with R

Course Level: Intermediate