
ggplot2 - Create Elegant Data Visualisations Using the Grammar …
ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to …
Introduction to ggplot2
ggplot2 is an R package for producing visualizations of data. Unlike many graphics packages, ggplot2 uses a conceptual framework based on the grammar of graphics. This allows you to …
Package index • ggplot2
All ggplot2 plots begin with a call to ggplot(), supplying default data and aesthetic mappings, specified by aes(). You then add layers, scales, coords and facets with +.
Create a new ggplot — ggplot • ggplot2
ggplot() initializes a ggplot object. It can be used to declare the input data frame for a graphic and to specify the set of aesthetic mappings for the plot, intended to be common throughout all …
Bar charts — geom_bar • ggplot2
Thus, ggplot2 will by default try to guess which orientation the layer should have. Under rare circumstances, the orientation is ambiguous and guessing may fail. In that case the orientation …
Points — geom_point • ggplot2
Aesthetics geom_point() understands the following aesthetics. Required aesthetics are displayed in bold and defaults are displayed for optional aesthetics: ... The fill aesthetic only applies to …
Aesthetic specifications - ggplot2
In addition, ggplot2 provides a conversion factor as the variable .pt, so if you want to draw 12pt text, you can also set size = 12 / .pt. Justification Horizontal and vertical justification have the …
Complete themes — ggtheme • ggplot2
The classic dark-on-light ggplot2 theme. May work better for presentations displayed with a projector. theme_linedraw() A theme with only black lines of various widths on white …
FAQ: Barplots • ggplot2
How can I make a bar plot of group means? Either calculate the group means first and use geom_col() to draw the bars or let ggplot2 calculate the means with stat_summary() with fun = …
Modify axis, legend, and plot labels — labs • ggplot2
Good labels are critical for making your plots accessible to a wider audience. Always ensure the axis and legend labels display the full variable name. Use the plot title and subtitle to explain …