# Create Elegant Data Visualisations Using the Grammar of Graphics

## Documentation for package ‘ggplot2’ version 3.1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

A B C D E F G H I L M P Q R S T V X Y misc

## -- A --

aes | Construct aesthetic mappings
aes_ | Define aesthetic mappings programmatically
aes_colour_fill_alpha | Colour related aesthetics: colour, fill and alpha
aes_group_order | Aesthetics: grouping
aes_linetype_size_shape | Differentiation related aesthetics: linetype, size, shape
aes_position | Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend
aes_q | Define aesthetic mappings programmatically
aes_string | Define aesthetic mappings programmatically
annotate | Create an annotation layer
annotation_custom | Annotation: Custom grob
annotation_logticks | Annotation: log tick marks
annotation_map | Annotation: a maps
annotation_raster | Annotation: high-performance rectangular tiling
autolayer | Create a ggplot layer appropriate to a particular data type
autoplot | Create a complete ggplot appropriate to a particular data type

## -- B --

borders | Create a layer of map borders

## -- C --

color | Colour related aesthetics: colour, fill and alpha
colour | Colour related aesthetics: colour, fill and alpha
CoordSf | Visualise sf objects
coord_cartesian | Cartesian coordinates
coord_equal | Cartesian coordinates with fixed "aspect ratio"
coord_fixed | Cartesian coordinates with fixed "aspect ratio"
coord_flip | Cartesian coordinates with x and y flipped
coord_map | Map projections
coord_polar | Polar coordinates
coord_quickmap | Map projections
coord_sf | Visualise sf objects
coord_trans | Transformed Cartesian coordinate system
cut_interval | Discretise numeric data into categorical
cut_number | Discretise numeric data into categorical
cut_width | Discretise numeric data into categorical

## -- D --

derive | Specify a secondary axis
diamonds | Prices of 50,000 round cut diamonds
dup_axis | Specify a secondary axis

## -- E --

economics | US economic time series
economics_long | US economic time series
element_blank | Theme elements
element_line | Theme elements
element_rect | Theme elements
element_text | Theme elements
expand_limits | Expand the plot limits, using data
expand_scale | Generate expansion vector for scales.

## -- F --

facet_grid | Lay out panels in a grid
facet_wrap | Wrap a 1d ribbon of panels into 2d
faithfuld | 2d density estimate of Old Faithful data
fill | Colour related aesthetics: colour, fill and alpha
format.ggproto | Format or print a ggproto object
fortify | Fortify a model with data.

## -- G --

GeomSf | Visualise sf objects
geom_abline | Reference lines: horizontal, vertical, and diagonal
geom_area | Ribbons and area plots
geom_bar | Bar charts
geom_bin2d | Heatmap of 2d bin counts
geom_blank | Draw nothing
geom_boxplot | A box and whiskers plot (in the style of Tukey)
geom_col | Bar charts
geom_contour | 2d contours of a 3d surface
geom_count | Count overlapping points
geom_crossbar | Vertical intervals: lines, crossbars & errorbars
geom_curve | Line segments and curves
geom_density | Smoothed density estimates
geom_density2d | Contours of a 2d density estimate
geom_density_2d | Contours of a 2d density estimate
geom_dotplot | Dot plot
geom_errorbar | Vertical intervals: lines, crossbars & errorbars
geom_errorbarh | Horizontal error bars
geom_freqpoly | Histograms and frequency polygons
geom_hex | Hexagonal heatmap of 2d bin counts
geom_histogram | Histograms and frequency polygons
geom_hline | Reference lines: horizontal, vertical, and diagonal
geom_jitter | Jittered points
geom_label | Text
geom_line | Connect observations
geom_linerange | Vertical intervals: lines, crossbars & errorbars
geom_map | Polygons from a reference map
geom_path | Connect observations
geom_point | Points
geom_pointrange | Vertical intervals: lines, crossbars & errorbars
geom_polygon | Polygons
geom_qq | A quantile-quantile plot
geom_qq_line | A quantile-quantile plot
geom_quantile | Quantile regression
geom_raster | Rectangles
geom_rect | Rectangles
geom_ribbon | Ribbons and area plots
geom_rug | Rug plots in the margins
geom_segment | Line segments and curves
geom_sf | Visualise sf objects
geom_sf_label | Visualise sf objects
geom_sf_text | Visualise sf objects
geom_smooth | Smoothed conditional means
geom_spoke | Line segments parameterised by location, direction and distance
geom_step | Connect observations
geom_text | Text
geom_tile | Rectangles
geom_violin | Violin plot
geom_vline | Reference lines: horizontal, vertical, and diagonal
ggplot | Create a new ggplot
ggproto | Create a new ggproto object
ggproto_parent | Create a new ggproto object
ggsave | Save a ggplot (or other grid object) with sensible defaults
ggsf | Visualise sf objects
ggtitle | Modify axis, legend, and plot labels
group | Aesthetics: grouping
guides | Set guides for each scale
guide_colorbar | Continuous colour bar guide
guide_colourbar | Continuous colour bar guide
guide_legend | Legend guide

## -- H --

hmisc | A selection of summary functions from Hmisc

## -- I --

is.ggproto | Create a new ggproto object

## -- L --

labeller | Construct labelling specification
labellers | Useful labeller functions
label_both | Useful labeller functions
label_bquote | Label with mathematical expressions
label_context | Useful labeller functions
label_parsed | Useful labeller functions
label_value | Useful labeller functions
label_wrap_gen | Useful labeller functions
labs | Modify axis, legend, and plot labels
lims | Set scale limits
linetype | Differentiation related aesthetics: linetype, size, shape
luv_colours | 'colors()' in Luv space

## -- M --

margin | Theme elements
mean_cl_boot | A selection of summary functions from Hmisc
mean_cl_normal | A selection of summary functions from Hmisc
mean_sdl | A selection of summary functions from Hmisc
mean_se | Calculate mean and standard error
median_hilow | A selection of summary functions from Hmisc
midwest | Midwest demographics
mpg | Fuel economy data from 1999 and 2008 for 38 popular models of car
msleep | An updated and expanded version of the mammals sleep dataset

## -- P --

plot.ggplot | Explicitly draw plot
position_dodge | Dodge overlapping objects side-to-side
position_dodge2 | Dodge overlapping objects side-to-side
position_fill | Stack overlapping objects on top of each another
position_identity | Don't adjust position
position_jitter | Jitter points to avoid overplotting
position_jitterdodge | Simultaneously dodge and jitter
position_nudge | Nudge points a fixed distance
position_stack | Stack overlapping objects on top of each another
presidential | Terms of 11 presidents from Eisenhower to Obama
print.ggplot | Explicitly draw plot
print.ggproto | Format or print a ggproto object

## -- Q --

qplot | Quick plot
quickplot | Quick plot

## -- R --

rel | Theme elements
resolution | Compute the "resolution" of a numeric vector

## -- S --

scale_alpha | Alpha transparency scales
scale_alpha_continuous | Alpha transparency scales
scale_alpha_date | Alpha transparency scales
scale_alpha_datetime | Alpha transparency scales
scale_alpha_discrete | Alpha transparency scales
scale_alpha_identity | Use values without scaling
scale_alpha_manual | Create your own discrete scale
scale_alpha_ordinal | Alpha transparency scales
scale_color_brewer | Sequential, diverging and qualitative colour scales from colorbrewer.org
scale_color_continuous | Gradient colour scales
scale_color_discrete | Evenly spaced colours for discrete data
scale_color_distiller | Sequential, diverging and qualitative colour scales from colorbrewer.org
scale_color_gradient | Gradient colour scales
scale_color_gradient2 | Gradient colour scales
scale_color_gradientn | Gradient colour scales
scale_color_grey | Sequential grey colour scales
scale_color_hue | Evenly spaced colours for discrete data
scale_color_identity | Use values without scaling
scale_color_manual | Create your own discrete scale
scale_color_viridis_c | Viridis colour scales from viridisLite
scale_color_viridis_d | Viridis colour scales from viridisLite
scale_colour_brewer | Sequential, diverging and qualitative colour scales from colorbrewer.org
scale_colour_continuous | Continuous colour scales
scale_colour_date | Gradient colour scales
scale_colour_datetime | Gradient colour scales
scale_colour_discrete | Evenly spaced colours for discrete data
scale_colour_distiller | Sequential, diverging and qualitative colour scales from colorbrewer.org
scale_colour_gradient | Gradient colour scales
scale_colour_gradient2 | Gradient colour scales
scale_colour_gradientn | Gradient colour scales
scale_colour_grey | Sequential grey colour scales
scale_colour_hue | Evenly spaced colours for discrete data
scale_colour_identity | Use values without scaling
scale_colour_manual | Create your own discrete scale
scale_colour_ordinal | Viridis colour scales from viridisLite
scale_colour_viridis_c | Viridis colour scales from viridisLite
scale_colour_viridis_d | Viridis colour scales from viridisLite
scale_continuous_identity | Use values without scaling
scale_discrete_identity | Use values without scaling
scale_discrete_manual | Create your own discrete scale
scale_fill_brewer | Sequential, diverging and qualitative colour scales from colorbrewer.org
scale_fill_continuous | Continuous colour scales
scale_fill_date | Gradient colour scales
scale_fill_datetime | Gradient colour scales
scale_fill_discrete | Evenly spaced colours for discrete data
scale_fill_distiller | Sequential, diverging and qualitative colour scales from colorbrewer.org
scale_fill_gradient | Gradient colour scales
scale_fill_gradient2 | Gradient colour scales
scale_fill_gradientn | Gradient colour scales
scale_fill_grey | Sequential grey colour scales
scale_fill_hue | Evenly spaced colours for discrete data
scale_fill_identity | Use values without scaling
scale_fill_manual | Create your own discrete scale
scale_fill_ordinal | Viridis colour scales from viridisLite
scale_fill_viridis_c | Viridis colour scales from viridisLite
scale_fill_viridis_d | Viridis colour scales from viridisLite
scale_linetype | Scale for line patterns
scale_linetype_continuous | Scale for line patterns
scale_linetype_discrete | Scale for line patterns
scale_linetype_identity | Use values without scaling
scale_linetype_manual | Create your own discrete scale
scale_radius | Scales for area or radius
scale_shape | Scales for shapes, aka glyphs
scale_shape_continuous | Scales for shapes, aka glyphs
scale_shape_discrete | Scales for shapes, aka glyphs
scale_shape_identity | Use values without scaling
scale_shape_manual | Create your own discrete scale
scale_shape_ordinal | Scales for shapes, aka glyphs
scale_size | Scales for area or radius
scale_size_area | Scales for area or radius
scale_size_continuous | Scales for area or radius
scale_size_date | Scales for area or radius
scale_size_datetime | Scales for area or radius
scale_size_discrete | Scales for area or radius
scale_size_identity | Use values without scaling
scale_size_manual | Create your own discrete scale
scale_size_ordinal | Scales for area or radius
scale_x_continuous | Position scales for continuous data (x & y)
scale_x_date | Position scales for date/time data
scale_x_datetime | Position scales for date/time data
scale_x_discrete | Position scales for discrete data
scale_x_log10 | Position scales for continuous data (x & y)
scale_x_reverse | Position scales for continuous data (x & y)
scale_x_sqrt | Position scales for continuous data (x & y)
scale_x_time | Position scales for date/time data
scale_y_continuous | Position scales for continuous data (x & y)
scale_y_date | Position scales for date/time data
scale_y_datetime | Position scales for date/time data
scale_y_discrete | Position scales for discrete data
scale_y_log10 | Position scales for continuous data (x & y)
scale_y_reverse | Position scales for continuous data (x & y)
scale_y_sqrt | Position scales for continuous data (x & y)
scale_y_time | Position scales for date/time data
seals | Vector field of seal movements
sec_axis | Specify a secondary axis
shape | Differentiation related aesthetics: linetype, size, shape
size | Differentiation related aesthetics: linetype, size, shape
stat | Calculated aesthetics
StatSf | Visualise sf objects
StatSfCoordinates | Extract coordinates from 'sf' objects
stat_bin | Histograms and frequency polygons
stat_bin2d | Heatmap of 2d bin counts
stat_binhex | Hexagonal heatmap of 2d bin counts
stat_bin_2d | Heatmap of 2d bin counts
stat_bin_hex | Hexagonal heatmap of 2d bin counts
stat_boxplot | A box and whiskers plot (in the style of Tukey)
stat_contour | 2d contours of a 3d surface
stat_count | Bar charts
stat_density | Smoothed density estimates
stat_density2d | Contours of a 2d density estimate
stat_density_2d | Contours of a 2d density estimate
stat_ecdf | Compute empirical cumulative distribution
stat_ellipse | Compute normal confidence ellipses
stat_function | Compute function for each x value
stat_identity | Leave data as is
stat_qq | A quantile-quantile plot
stat_qq_line | A quantile-quantile plot
stat_quantile | Quantile regression
stat_sf | Visualise sf objects
stat_sf_coordinates | Extract coordinates from 'sf' objects
stat_smooth | Smoothed conditional means
stat_spoke | Line segments parameterised by location, direction and distance
stat_sum | Count overlapping points
stat_summary | Summarise y values at unique/binned x
stat_summary2d | Bin and summarise in 2d (rectangle & hexagons)
stat_summary_2d | Bin and summarise in 2d (rectangle & hexagons)
stat_summary_bin | Summarise y values at unique/binned x
stat_summary_hex | Bin and summarise in 2d (rectangle & hexagons)
stat_unique | Remove duplicates
stat_ydensity | Violin plot
summarise_coord | Summarise built plot objects
summarise_layers | Summarise built plot objects
summarise_layout | Summarise built plot objects
summarise_plot | Summarise built plot objects

## -- T --

theme | Modify components of a theme
theme_bw | Complete themes
theme_classic | Complete themes
theme_dark | Complete themes
theme_get | Get, set, and modify the active theme
theme_gray | Complete themes
theme_grey | Complete themes
theme_light | Complete themes
theme_linedraw | Complete themes
theme_minimal | Complete themes
theme_replace | Get, set, and modify the active theme
theme_set | Get, set, and modify the active theme
theme_test | Complete themes
theme_update | Get, set, and modify the active theme
theme_void | Complete themes
txhousing | Housing sales in TX

## -- V --

vars | Quote faceting variables

## -- X --

x | Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend
xend | Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend
xlab | Modify axis, legend, and plot labels
xlim | Set scale limits
xmax | Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend
xmin | Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend

## -- Y --

y | Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend
yend | Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend
ylab | Modify axis, legend, and plot labels
ylim | Set scale limits
ymax | Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend
ymin | Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend

## -- misc --

%+% | Add components to a plot
%+replace% | Get, set, and modify the active theme
+.gg | Add components to a plot