Advanced Graphics with R

Description:

This course will take place, from 1:30pm - 5:00pm (GMT) , on the 18th & 19th of January. We have an early bird offer of £200, which runs until the 21st of December. The price is £250 thereafter.

The standard plotting commands in R are known as the base graphics, but are starting to show their age. In this course, we cover more advanced graphical packages - in particular, ggplot2. The ggplot2 package can create advanced and informative graphics. This training course stresses understanding - not just one off R scripts. By the end of the session, participants will be familiar with themes, scales and facets, as well as the wider ggplot2 world of packages.

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.

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.

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 practical's. 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!

Cost:

£200.00 - £250.00

Website and registration:

Register for this course

Region:

International

Keywords:

Quantitative Data Handling and Data Analysis, advanced graphics , r programming

Related publications and presentations from our eprints archive:

Quantitative Data Handling and Data Analysis

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