Package index • plotit

Plot Construction

plotit(): Initialize a plotit object
encode(): Create aesthetic mapping

Geometric Layers

Add visual marks to your plot.

mark_area(): Area layer
mark_bar(): Bar layer
mark_beeswarm(): Beeswarm plot layer
mark_boxplot(): Boxplot layer
mark_chord(): Chord diagram layer
mark_corr(): Correlation matrix heatmap
mark_density(): Density layer
mark_density_2d(): 2D density contour layer
mark_dumbbell(): Dumbbell comparison chart layer
mark_errorbar(): Error bar layer
mark_hex(): Hexagonal heatmap layer
mark_histogram(): Histogram layer
mark_line(): Line layer
mark_lollipop(): Lollipop chart layer
mark_map(): Map layer
mark_network(): Network / force-directed graph layer
mark_path(): Path layer
mark_point(): Point layer
mark_polygon(): Polygon layer
mark_rect(): Rectangle layer
mark_rule(): Reference line / segment layer
mark_sankey(): Sankey flow diagram layer
mark_significance(): Significance annotation layer
mark_smooth(): Smoothed conditional mean layer
mark_text(): Text layer
mark_treemap(): Treemap layer
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_shape(): Shape scale
scale_size(): Size scale
scale_x(): X-axis position scale
scale_y(): Y-axis position scale

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)
style_default(): Apply the default plotit theme (convenience wrapper for style())

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