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 …

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 …

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 …

ggplot() initializes a ggplot object. It can be used to declare the input data frame for a graphic and to specify the set of plot aesthetics intended to be common throughout all subsequent layers …

Aesthetics geom_point() understands the following aesthetics (required aesthetics are in bold): x y alpha colour fill group shape size stroke Learn more about setting these aesthetics in …

In ggplot2, a plot is constructed by adding layers to it. In addition to geoms and stats, position adjustments are the third required part of a layer. The 'position' part of a layer is responsible …

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 …

Using ggplot2 in Depends will attach ggplot2 when your package is attached, which includes when your package is tested. This makes it difficult to ensure that others can use the functions …

Scales that can be used to modify these aesthetics: scale_linetype(), scale_linewidth(), scale_size(), and scale_shape(). Run vignette("ggplot2-specs") to see an overview of other …

The viridis scales provide colour maps that are perceptually uniform in both colour and black-and-white. They are also designed to be perceived by viewers with common ...