ggplot2 v3.1.1

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Create Elegant Data Visualisations Using the Grammar of Graphics

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 it takes care of the details.

Readme

ggplot2

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Overview

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 use, and it takes care of the details.

Installation

# The easiest way to get ggplot2 is to install the whole tidyverse:
install.packages("tidyverse")

# Alternatively, install just ggplot2:
install.packages("ggplot2")

# Or the the development version from GitHub:
# install.packages("devtools")
devtools::install_github("tidyverse/ggplot2")

Cheatsheet

Usage

It’s hard to succinctly describe how ggplot2 works because it embodies a deep philosophy of visualisation. However, in most cases you start with ggplot(), supply a dataset and aesthetic mapping (with aes()). You then add on layers (like geom_point() or geom_histogram()), scales (like scale_colour_brewer()), faceting specifications (like facet_wrap()) and coordinate systems (like coord_flip()).

library(ggplot2)

ggplot(mpg, aes(displ, hwy, colour = class)) + 
  geom_point()

Lifecycle

lifecycle

ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functions or arguments rather than changing the behaviour of existing functions, and if we do make changes to existing behaviour we will do them for compelling reasons.

If you are looking for innovation, look to ggplot2’s rich ecosystem of extensions. See a community maintained list at http://www.ggplot2-exts.org/gallery/.

Learning ggplot2

If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages. Currently, there are three good places to start:

  1. The data visualisation and graphics for communication chapters in R for data science. R for data science is designed to give you a comprehensive introduction to the tidyverse, and these two chapters will you get up to speed with the essentials of ggplot2 as quickly as possible.

  2. If you’d like to take an interactive online course, try Data visualisation with ggplot2 by Rick Scavetta on DataCamp.

  3. If you want to dive into making common graphics as quickly as possible, I recommend The R Graphics Cookbook by Winston Chang. It provides a set of recipes to solve common graphics problems. A 2nd edition is due out in 2018.

If you’ve mastered the basics and want to learn more, read ggplot2: Elegant Graphics for Data Analysis. 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 graphics specifically tailored to your needs. The book is not available for free, but you can find the complete source for the book at https://github.com/hadley/ggplot2-book.

Getting help

There are two main places to get help with ggplot2:

  1. The RStudio community is a friendly place to ask any questions about ggplot2.

  2. Stack Overflow is a great source of answers to common ggplot2 questions. It is also a great place to get help, once you have created a reproducible example that illustrates your problem.

Functions in ggplot2

Name Description
annotation_raster Annotation: high-performance rectangular tiling
as.list.ggproto Convert a ggproto object to a list
draw_key Key drawing functions
economics US economic time series
find_panel Find panels in a gtable
fortify-multcomp Fortify methods for objects produced by multcomp
geom_bin2d Heatmap of 2d bin counts
geom_blank Draw nothing
geom_smooth Smoothed conditional means
aes_colour_fill_alpha Colour related aesthetics: colour, fill and alpha
geom_spoke Line segments parameterised by location, direction and distance
ggplotGrob Generate a ggplot2 plot grob.
ggplot_add Add custom objects to ggplot
aes_group_order Aesthetics: grouping
aes_all Given a character vector, create a set of identity mappings
as_labeller Coerce to labeller function
autolayer Create a ggplot layer appropriate to a particular data type
aes_auto Automatic aesthetic mapping
coord_munch Munch coordinates data
coord_polar Polar coordinates
guide_colourbar Continuous colour bar guide
diamonds Prices of 50,000 round cut diamonds
autoplot Create a complete ggplot appropriate to a particular data type
benchplot Benchmark plot creation time. Broken down into construct, build, render and draw times.
discrete_scale Discrete scale constructor.
geom_density_2d Contours of a 2d density estimate
geom_dotplot Dot plot
geom_errorbarh Horizontal error bars
guide_legend Legend guide
geom_hex Hexagonal heatmap of 2d bin counts
geom_violin Violin plot
+.gg Add components to a plot
combine_vars Take input data and define a mapping between faceting variables and ROW, COL and PANEL keys
gg_dep Give a deprecation error, warning, or message, depending on version number.
continuous_scale Continuous scale constructor.
coord_trans Transformed Cartesian coordinate system
ggplot Create a new ggplot
labs Modify axis, legend, and plot labels
cut_interval Discretise numeric data into categorical
facet_wrap Wrap a 1d ribbon of panels into 2d
ggsf Visualise sf objects
aes Construct aesthetic mappings
last_plot Retrieve the last plot to be modified or created.
ggtheme Complete themes
aes_ Define aesthetic mappings programmatically
is.ggplot Reports whether x is a ggplot object
msleep An updated and expanded version of the mammals sleep dataset
faithfuld 2d density estimate of Old Faithful data
position_dodge Dodge overlapping objects side-to-side
is.rel Reports whether x is a rel object
geom_abline Reference lines: horizontal, vertical, and diagonal
qplot Quick plot
geom_bar Bar charts
annotation_logticks Annotation: log tick marks
geom_path Connect observations
reexports Objects exported from other packages
position_jitterdodge Simultaneously dodge and jitter
position_nudge Nudge points a fixed distance
annotation_map Annotation: a maps
scale_x_discrete Position scales for discrete data
scale_date Position scales for date/time data
geom_point Points
scale_colour_continuous Continuous colour scales
coord_cartesian Cartesian coordinates
geom_rug Rug plots in the margins
absoluteGrob Absolute grob
coord_fixed Cartesian coordinates with fixed "aspect ratio"
scale_type Determine default scale type
add_theme Modify properties of an element in a theme object
scale_continuous Position scales for continuous data (x & y)
geom_segment Line segments and curves
ggproto Create a new ggproto object
expand_limits Expand the plot limits, using data
expand_scale Generate expansion vector for scales.
guides Set guides for each scale
should_stop Used in examples to illustrate when errors should occur.
stat_summary_2d Bin and summarise in 2d (rectangle & hexagons)
stat_unique Remove duplicates
ggsave Save a ggplot (or other grid object) with sensible defaults
set_last_plot Set the last plot to be fetched by lastplot()
hmisc A selection of summary functions from Hmisc
annotate Create an annotation layer
fortify Fortify a model with data.
scale_colour_viridis_d Viridis colour scales from viridisLite
labellers Useful labeller functions
labeller Construct labelling specification
stat_ecdf Compute empirical cumulative distribution
update_labels Update axis/legend labels
stat_ellipse Compute normal confidence ellipses
annotation_custom Annotation: Custom grob
vars Quote faceting variables
geom_density Smoothed density estimates
geom_count Count overlapping points
fortify.lm Supplement the data fitted to a linear model with model fit statistics.
geom_crossbar Vertical intervals: lines, crossbars & errorbars
geom_map Polygons from a reference map
coord_flip Cartesian coordinates with x and y flipped
scale_linetype Scale for line patterns
midwest Midwest demographics
mpg Fuel economy data from 1999 and 2008 for 38 popular models of car
scale_manual Create your own discrete scale
coord_map Map projections
geom_quantile Quantile regression
margin Theme elements
geom_ribbon Ribbons and area plots
element_grob Generate grid grob from theme element
seals Vector field of seal movements
sec_axis Specify a secondary axis
geom_boxplot A box and whiskers plot (in the style of Tukey)
fortify.map Fortify method for map objects
fortify.sp Fortify method for classes from the sp package.
ggplot2-ggproto Base ggproto classes for ggplot2
ggplot2-package ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics
geom_contour 2d contours of a 3d surface
lims Set scale limits
luv_colours colors() in Luv space
position_identity Don't adjust position
stat_sf_coordinates Extract coordinates from 'sf' objects
geom_freqpoly Histograms and frequency polygons
geom_jitter Jittered points
position_jitter Jitter points to avoid overplotting
ggplot_build Build ggplot for rendering.
aes_linetype_size_shape Differentiation related aesthetics: linetype, size, shape
aes_position Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend
render_strips Render panel strips
ggplot_gtable Build a plot with all the usual bits and pieces.
borders Create a layer of map borders
resolution Compute the "resolution" of a numeric vector
stat_summary_bin Summarise y values at unique/binned x
scale_colour_hue Evenly spaced colours for discrete data
scale_identity Use values without scaling
calc_element Calculate the element properties, by inheriting properties from its parents
facet_grid Lay out panels in a grid
is.Coord Is this object a coordinate system?
is.facet Is this object a faceting specification?
facet_null Facet specification: a single panel.
geom_polygon Polygons
geom_qq_line A quantile-quantile plot
geom_label Text
layer Create a new layer
limits Generate correct scale type for specified limits
zeroGrob The zero grob draws nothing and has zero size.
tidyeval Tidy eval helpers
map_data Create a data frame of map data
max_height Get the maximal width/length of a list of grobs
transform_position Convenience function to transform all position variables.
position_stack Stack overlapping objects on top of each another
waiver A waiver object.
geom_raster Rectangles
graphical-units Graphical units
guide-exts S3 generics for guides.
is.theme Reports whether x is a theme object
wrap_dims Arrange 1d structure into a grid
presidential Terms of 11 presidents from Eisenhower to Obama
label_bquote Label with mathematical expressions
scale_alpha Alpha transparency scales
scale_colour_brewer Sequential, diverging and qualitative colour scales from colorbrewer.org
mean_se Calculate mean and standard error
scale_shape Scales for shapes, aka glyphs
merge_element Merge a parent element into a child element
scale_size Scales for area or radius
standardise_aes_names Standardise aesthetic names
print.ggplot Explicitly draw plot
print.ggproto Format or print a ggproto object
stat Calculated aesthetics
summarise_plot Summarise built plot objects
summary.ggplot Displays a useful description of a ggplot object
remove_missing Convenience function to remove missing values from a data.frame
txhousing Housing sales in TX
render_axes Render panel axes
update_geom_defaults Modify geom/stat aesthetic defaults for future plots
scale_colour_gradient Gradient colour scales
scale_colour_grey Sequential grey colour scales
stat_function Compute function for each x value
stat_identity Leave data as is
theme Modify components of a theme
theme_get Get, set, and modify the active theme
translate_qplot_ggplot Translating between qplot and ggplot
translate_qplot_lattice Translating between qplot and lattice
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releases/ggplot2-1.0.0.Rmd
releases/ggplot2-2.0.0.Rmd
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extending-ggplot2.Rmd
ggplot2-specs.Rmd
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License GPL-2 | file LICENSE
URL http://ggplot2.tidyverse.org, https://github.com/tidyverse/ggplot2
BugReports https://github.com/tidyverse/ggplot2/issues
LazyData true
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VignetteBuilder knitr
RoxygenNote 6.1.0
Encoding UTF-8
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Packaged 2019-04-02 12:58:44 UTC; thomas
Repository CRAN
Date/Publication 2019-04-07 09:30:19 UTC

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