It describes the theoretical underpinnings of ggplot2 and shows you how all the pieces fit together. This book helps you understand the theory that underpins ggplot2, and will help you create new types of …

List of scale name-guide pairs. The guide can either be a string (i.e. "colorbar" or "legend"), or a call to a guide function (i.e. guide_colourbar() or guide_legend()) specifying additional arguments.

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 ‘speak’ a graph …

To create your own geoms, stats, scales, and facets, you’ll need to learn a bit about the object oriented system that ggplot2 uses. Start by reading vignette("extending-ggplot2") then consult these functions …

A positive integer of length 1 that specifies the order of this guide among multiple guides. This controls in which order guides are merged if there are multiple guides for the same position.

Legend type guide shows key (i.e., geoms) mapped onto values. Legend guides for various scales are integrated if possible.

This is a special guide that can be used to display any graphical object (grob) along with the regular guides. This guide has no associated scale.

Colour bar guide shows continuous colour scales mapped onto values. Colour bar is available with scale_fill and scale_colour.

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 can …

This axis guide replaces the placement of ticks marks at intervals in log10 space.