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Visualizing Grouped Data with Lattice Graphics in R

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This presentation by Richard Pugh covers the usage of Lattice graphics for plotting grouped data effectively. Participants will learn about panel functions, how to categorize data into groups, and the mechanics behind creating grouped plots. The session will utilize the London Tube performance data to demonstrate these concepts. Key topics include an overview of Lattice graphics, customization of panel functions, and practical examples of grouping variables. Attendees will gain insights on applying these techniques in their own data visualization projects.

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Visualizing Grouped Data with Lattice Graphics in R

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Presentation Transcript

  1. Using Lattice to Plot Grouped Data Richard Pugh 4th December 2012

  2. Agenda • What are Lattice Graphics? • Panel Functions • Grouped data • The mechanics of grouped plots • Plotting more than 1 group • Summary

  3. The Data We Will Use • Something relevant and sector independent • London Tube Performance Data from the TFL website • Excess Travel Hours by Line http://data.london.gov.uk/datastore/package/tube-network-performance-data http://en.wikipedia.org/wiki/London_Underground

  4. What are Lattice Graphics?

  5. Overview of Lattice Graphics • One of the graphic systems of R (others include “Traditional” and “GGPlot”) • An implementation of the S+ “Trellis” Graphics • Written by DeepayanSarkar, Fred Hutchinson Cancer Research Center

  6. Panel Functions

  7. Panel Functions • For each lattice graph, R performs the following actions: • Partitions the data • Draws the graph “outline” (i.e. the “panels”) • Passes the data for each panel into the “panel” function • We can overwrite this panel function and supply our own …

  8. Panel Functions • The default “panel” function for a lattice function is “panel.NameOfFunction” • Let’s look at panel.xyplot …

  9. Arguments for styling Jitter & other less used bits Let’s write our own panel function …….

  10. Now what? • Now we can insert other functions into a panel function which will then impact each individual plot panel • We can call: • Lattice “low level functions” (lpoints, ltext, llines, lpolygonetc) • Existing “panel.” functions that exist for this purpose

  11. Grouped Data

  12. Grouped Data • Many datasets will have inherit groupings • Examples may include: • “Stock” for finance data • “Subject” for pharma data • We *always* want to take this into account when working with graphics

  13. Grouped Data • We can specify groupings within our data in order to plot these groupings separately • By default, lattice will vary styling of the groups specified • The key argument is the “groups” argument

  14. The Mechanics of Grouped Data

  15. Plotting more than 1 group of data

  16. Plotting more than 1 group of data • Something I want to a do a lot • Examples: • Group by sector when plotting stock data • Group by dose group when plotting subject data Grouping Variable “Base” Grouping Variable

  17. Summary

  18. Summary • Lattice is a great framework to use when your data is highly structured • We can use the “panel.groups” structure in order to ensure a “base” grouping variable is always taken into account • Slides, Data and Scripts will be at LondonR.org soon

  19. Questions?

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