Function reference • ggplot2

All functions
`aes()`	Construct aesthetic mappings
`aes_()` `aes_string()` `aes_q()`	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
`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
`borders()`	Create a layer of map borders
`coord_cartesian()`	Cartesian coordinates
`coord_fixed()`	Cartesian coordinates with fixed "aspect ratio"
`coord_flip()`	Cartesian coordinates with x and y flipped
`coord_map()` `coord_quickmap()`	Map projections
`coord_polar()`	Polar coordinates
`coord_trans()`	Transformed Cartesian coordinate system
`cut_interval()` `cut_number()` `cut_width()`	Discretise numeric data into categorical
`diamonds`	Prices of 50,000 round cut diamonds
`draw_key_point()` `draw_key_abline()` `draw_key_rect()` `draw_key_polygon()` `draw_key_blank()` `draw_key_boxplot()` `draw_key_crossbar()` `draw_key_path()` `draw_key_vpath()` `draw_key_dotplot()` `draw_key_pointrange()` `draw_key_smooth()` `draw_key_text()` `draw_key_label()` `draw_key_vline()` `draw_key_timeseries()`	Key glyphs for legends
`economics` `economics_long`	US economic time series
`margin()` `element_blank()` `element_rect()` `element_line()` `element_text()` `rel()`	Theme elements
`expand_limits()`	Expand the plot limits, using data
`expand_scale()`	Generate expansion vector for scales.
`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
`fortify()`	Fortify a model with data.
`geom_abline()` `geom_hline()` `geom_vline()`	Reference lines: horizontal, vertical, and diagonal
`geom_bar()` `geom_col()` `stat_count()`	Bar charts
`geom_bin2d()` `stat_bin_2d()`	Heatmap of 2d bin counts
`geom_blank()`	Draw nothing
`geom_boxplot()` `stat_boxplot()`	A box and whiskers plot (in the style of Tukey)
`geom_contour()` `stat_contour()`	2d contours of a 3d surface
`geom_count()` `stat_sum()`	Count overlapping points
`geom_density()` `stat_density()`	Smoothed density estimates
`geom_density_2d()` `stat_density_2d()`	Contours of a 2d density estimate
`geom_dotplot()`	Dot plot
`geom_errorbarh()`	Horizontal error bars
`geom_hex()` `stat_bin_hex()`	Hexagonal heatmap of 2d bin counts
`geom_freqpoly()` `geom_histogram()` `stat_bin()`	Histograms and frequency polygons
`geom_jitter()`	Jittered points
`geom_crossbar()` `geom_errorbar()` `geom_linerange()` `geom_pointrange()`	Vertical intervals: lines, crossbars & errorbars
`geom_map()`	Polygons from a reference map
`geom_path()` `geom_line()` `geom_step()`	Connect observations
`geom_point()`	Points
`geom_polygon()`	Polygons
`geom_qq_line()` `stat_qq_line()` `geom_qq()` `stat_qq()`	A quantile-quantile plot
`geom_quantile()` `stat_quantile()`	Quantile regression
`geom_ribbon()` `geom_area()`	Ribbons and area plots
`geom_rug()`	Rug plots in the margins
`geom_segment()` `geom_curve()`	Line segments and curves
`geom_smooth()` `stat_smooth()`	Smoothed conditional means
`geom_spoke()`	Line segments parameterised by location, direction and distance
`geom_label()` `geom_text()`	Text
`geom_raster()` `geom_rect()` `geom_tile()`	Rectangles
`geom_violin()` `stat_ydensity()`	Violin plot
`+`(<gg>) `%+%`	Add components to a plot
`ggplot()`	Create a new ggplot
`ggproto()` `ggproto_parent()` `is.ggproto()`	Create a new ggproto object
`ggsave()`	Save a ggplot (or other grid object) with sensible defaults
`coord_sf()` `geom_sf()` `geom_sf_label()` `geom_sf_text()` `stat_sf()`	Visualise sf objects
`theme_grey()` `theme_gray()` `theme_bw()` `theme_linedraw()` `theme_light()` `theme_dark()` `theme_minimal()` `theme_classic()` `theme_void()` `theme_test()`	Complete themes
`guide_colourbar()` `guide_colorbar()`	Continuous colour bar guide
`guide_legend()`	Legend guide
`guides()`	Set guides for each scale
`mean_cl_boot()` `mean_cl_normal()` `mean_sdl()` `median_hilow()`	A selection of summary functions from Hmisc
`label_bquote()`	Label with mathematical expressions
`labeller()`	Construct labelling specification
`label_value()` `label_both()` `label_context()` `label_parsed()` `label_wrap_gen()`	Useful labeller functions
`labs()` `xlab()` `ylab()` `ggtitle()`	Modify axis, legend, and plot labels
`lims()` `xlim()` `ylim()`	Set scale limits
`luv_colours`	`colors()` in Luv space
`mean_se()`	Calculate mean and standard error
`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
`position_dodge()` `position_dodge2()`	Dodge overlapping objects side-to-side
`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()` `position_fill()`	Stack overlapping objects on top of each another
`presidential`	Terms of 11 presidents from Eisenhower to Obama
`print(<ggplot>)` `plot(<ggplot>)`	Explicitly draw plot
`print(<ggproto>)` `format(<ggproto>)`	Format or print a ggproto object
`qplot()` `quickplot()`	Quick plot
`resolution()`	Compute the "resolution" of a numeric vector
`scale_alpha()` `scale_alpha_continuous()` `scale_alpha_discrete()` `scale_alpha_ordinal()`	Alpha transparency scales
`scale_colour_brewer()` `scale_fill_brewer()` `scale_colour_distiller()` `scale_fill_distiller()`	Sequential, diverging and qualitative colour scales from colorbrewer.org
`scale_colour_continuous()` `scale_fill_continuous()`	Continuous colour scales
`scale_x_continuous()` `scale_y_continuous()` `scale_x_log10()` `scale_y_log10()` `scale_x_reverse()` `scale_y_reverse()` `scale_x_sqrt()` `scale_y_sqrt()`	Position scales for continuous data (x & y)
`scale_x_date()` `scale_y_date()` `scale_x_datetime()` `scale_y_datetime()` `scale_x_time()` `scale_y_time()`	Position scales for date/time data
`scale_x_discrete()` `scale_y_discrete()`	Position scales for discrete data
`scale_colour_gradient()` `scale_fill_gradient()` `scale_colour_gradient2()` `scale_fill_gradient2()` `scale_colour_gradientn()` `scale_fill_gradientn()`	Gradient colour scales
`scale_colour_grey()` `scale_fill_grey()`	Sequential grey colour scales
`scale_colour_hue()` `scale_fill_hue()`	Evenly spaced colours for discrete data
`scale_colour_identity()` `scale_fill_identity()` `scale_shape_identity()` `scale_linetype_identity()` `scale_alpha_identity()` `scale_size_identity()` `scale_discrete_identity()` `scale_continuous_identity()`	Use values without scaling
`scale_linetype()` `scale_linetype_continuous()` `scale_linetype_discrete()`	Scale for line patterns
`scale_colour_manual()` `scale_fill_manual()` `scale_size_manual()` `scale_shape_manual()` `scale_linetype_manual()` `scale_alpha_manual()` `scale_discrete_manual()`	Create your own discrete scale
`scale_shape()`	Scales for shapes, aka glyphs
`scale_radius()` `scale_size()` `scale_size_area()`	Scales for area or radius
`scale_colour_viridis_d()` `scale_fill_viridis_d()` `scale_colour_viridis_c()` `scale_fill_viridis_c()`	Viridis colour scales from viridisLite
`seals`	Vector field of seal movements
`sec_axis()` `dup_axis()` `derive()`	Specify a secondary axis
`stat()`	Calculated aesthetics
`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_sf_coordinates()`	Extract coordinates from 'sf' objects
`stat_summary_bin()` `stat_summary()`	Summarise y values at unique/binned x
`stat_summary_2d()` `stat_summary_hex()`	Bin and summarise in 2d (rectangle & hexagons)
`stat_unique()`	Remove duplicates
`theme()`	Modify components of a theme
`theme_get()` `theme_set()` `theme_update()` `theme_replace()` `%+replace%`	Get, set, and modify the active theme
`txhousing`	Housing sales in TX
`vars()`	Quote faceting variables

Reference

All functions

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