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Mastering GGPlot2: Elevate Your Data Visualization Game

Learn the powerful GGPlot2 functions by Hadley Wickham, exploring the Grammar of Graphics. Harness the flexibility and aesthetics of GGPlot2 for visually stunning data presentations in R. Discover how to transform your plots with added legends, color options, and more using GGPlot2 syntax.

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Mastering GGPlot2: Elevate Your Data Visualization Game

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Presentation Transcript

  1. Some Possibly Useful Graphics Functions Lunch presentation

  2. GGPlot2 • Hadley Wickham • Grammar Of Graphics • GGPlot2 Website • If I see it on the GGPlot2 page it might be easier/better looking to use than using R plot function

  3. Syntax • What I’m used to: • Plot(x,y, col=whatever, main=whatever) • Legend(…) • par(mfrow=c(1,2))

  4. Syntax • What I’m used to: • Plot(x,y, col=whatever, main=whatever) ggplot(dataFrame,aes(x,y,sometimesz) + the name of the plot you want + • Legend(…) + options like labels/colors/text/lines • par(mfrow=c(x,y)) grid.newpage() pushViewport(viewport(layout = grid.layout(x, y))) viewport(layout.pos.row = x, layout.pos.col = y)

  5. How Might it be Useful • Do you have your data in a data.frame? • Are you ok with acceding control of the details? • Do you anticipate summarizing your data by one or more variables in your data frame? • Do you see your plot or something like it on Hadley’s page?

  6. R Plot Function

  7. R Plot Function Again

  8. R Barplot Function

  9. geom_bar

  10. Specify Factor Levels

  11. Specify Arbitrary Factor Levels

  12. geom_point

  13. Remove Background Grid

  14. Specify Colors

  15. Change legend label

  16. Change title and axes labels

  17. geom_point

  18. Facet by sample

  19. Flip it

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