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 …

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 …

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 +. To save a plot to …

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 …

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 …

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 use, and …

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.

The point geom is used to create scatterplots. The scatterplot is most useful for displaying the relationship between two continuous variables. It can be used to compare one continuous and …

The signature ggplot2 theme with a grey background and white gridlines, designed to put the data forward yet make comparisons easy. theme_bw() The classic dark-on-light ggplot2 theme. …

Run vignette("ggplot2-specs") to see an overview of other aesthetics that can be modified. Other aesthetics documentation: aes () , aes_group_order , aes_linetype_size_shape , aes_position …