Package index

Plot Construction

plotit(): Initialize a plotit object
encode(): Create aesthetic mapping
`+`(<plotit>): Add a ggplot2 component to a plotit object

Geometric Layers

Add visual marks to your plot.

mark_area(): Area layer
mark_bar(): Bar layer
mark_beeswarm(): Beeswarm plot layer
mark_bin2d(): 2D binned heatmap layer
mark_boxplot(): Boxplot layer
mark_chord(): Chord diagram layer (sugar)
mark_contour(): Contour layer for 2D scalar fields
mark_corr(): Correlation matrix heatmap (sugar)
mark_count(): Count layer (overlap-aware points)
mark_curve(): Curved link layer
mark_density(): Density layer
mark_density_2d(): 2D density contour layer
mark_dumbbell(): Dumbbell comparison chart layer
mark_ecdf(): Empirical CDF layer
mark_errorbar(): Error bar / interval layer
mark_forest(): Forest plot layer (estimate + interval)
mark_heatmap(): Matrix heatmap layer (sugar)
mark_hex(): Hexagonal heatmap layer
mark_histogram(): Histogram layer
mark_label(): Label layer
mark_line(): Line layer
mark_lollipop(): Lollipop chart layer
mark_map(): Map layer
mark_network(): Network / force-directed graph layer (sugar)
mark_path(): Path layer
mark_point(): Point layer
mark_polygon(): Polygon layer
mark_qq(): Quantile-quantile points layer
mark_qq_line(): Quantile-quantile reference line layer
mark_rect(): Rectangle layer
mark_rug(): Rug / tick layer
mark_rule(): Reference line / segment layer
mark_sankey(): Sankey flow diagram layer (sugar)
mark_significance(): Significance annotation layer
mark_smooth(): Smoothed conditional mean layer
mark_spoke(): Spoke layer
mark_step(): Step layer
mark_text(): Text layer
mark_treemap(): Treemap layer (sugar)
mark_violin(): Violin layer

Scales

Control how data maps to visual properties.

scale_alpha(): Alpha (transparency) scale
scale_color(): Color scale
scale_fill(): Fill scale
scale_linetype(): Linetype scale
scale_radius(): Radius scale (area-proportional bubble size)
scale_shape(): Shape scale
scale_size(): Size scale
scale_x(): X-axis position scale
scale_y(): Y-axis position scale

Graph Data & Layout

Build relational graphs and compute layouts (Vega-style data transforms).

as_graph(): Convert relational data to a plotit graph
layout_chord(): Chord layout
layout_circle(): Circular layout
layout_dendrogram(): Dendrogram layout
layout_force(): Force-directed layout
layout_sankey(): Sankey layout
layout_tree(): Tree layout
layout_treemap(): Treemap layout

Labels

Set titles, axis labels, and legend text.

label_axis(): Generic for setting axis titles
label_caption(): Generic for setting plot caption
label_legend(): Generic for setting legend title(s)
label_subtitle(): Generic for setting plot subtitle
label_title(): Generic for setting plot title

Coordinate Systems

Transform the coordinate space.

project_cartesian(): Cartesian coordinate system
project_map(): Map coordinate system
project_parallel(): Parallel coordinates
project_polar(): Polar / radial coordinate system

Split data into subplots.

split_grid(): Generic for grid facets
split_wrap(): Generic for wrapping facets

Composition

Combine multiple plots into layouts.

compose_grid(): Assemble multiple plots into a grid layout
compose_inset(): Overlay an inset plot on a base plot
compose_marginal(): Scatter plot with marginal distributions

Theme

Style your plots with built-in or custom themes.

style(): Modify plot theme (aligns with ggplot2::theme)

Export

Render and save your plots to files.

export(): Export a plotit object to a file

Customization

Extend plotit with custom marks and themes.

make_mark(): Create a custom mark
make_theme(): Create a reusable theme preset