Package index • ggnext

All functions
`Animation()`	Animation: a transition spec bound to a data variable
`ColorScale()`	ColorScale: palette override for the color aesthetic
`Coord()`	Coord: position transformation for normalized coordinates
`CoordCartesian()`	CoordCartesian: the identity coordinate system
`CoordPolar()`	CoordPolar: polar coordinate system
`Facet()`	Facet: split a plot into panels by data values
`Geom()`	Geom: geometric representation of computed values
`GgnextPlot()`	GgnextPlot: the complete plot specification
`Labels()`	Labels: plot title block and axis/legend titles
`Layer()`	Layer: one geom + stat + data/mapping overrides
`Scale()`	Scale: map data values onto a normalized visual range
`ScaleContinuous()`	ScaleContinuous: linear continuous positional scale
`ScaleDiscrete()`	ScaleDiscrete: positional scale for categorical data
`Stat()`	Stat: statistical transformation applied to layer data
`aes()`	Construct aesthetic mappings
`animate()`	Animate a plot over a transition variable
`build_marks()`	Build drawing primitives ("marks") from scaled aesthetic values
`build_site()`	Build the ggnext documentation site
`compute_stat()`	Apply a stat's transformation to evaluated aesthetic values
`coord_cartesian()`	Cartesian coordinate system
`coord_flip()`	Flipped Cartesian coordinates
`coord_polar()`	Polar coordinates
`coord_transform()`	Transform normalized positions through a coordinate system
`facet_grid()`	Lay panels out in a rows-by-columns grid
`facet_wrap()`	Wrap panels into a grid
`geom_abline()`	Sloped reference line
`geom_ae_heatmap()`	Adverse-event incidence heatmap
`geom_area()`	Area layer (filled to the zero baseline)
`geom_bar()`	Bar chart layer (counts per category)
`geom_bland_altman()`	Bland-Altman agreement plot
`geom_blank()`	Blank layer
`geom_boxplot()`	Boxplot layer
`geom_bump()`	Bump chart (rank over time)
`geom_calibration()`	Calibration curve
`geom_chord()`	Chord diagram
`geom_col()`	Column chart layer (bar heights from the data)
`geom_confusion_matrix()`	Confusion matrix
`geom_consort()`	CONSORT participant flow diagram
`geom_count()`	Counted scatter
`geom_crossbar()`	Crossbar: an interval box with the estimate marked
`geom_cuminc()`	Cumulative incidence (competing risks)
`geom_curve()`	Curved connector
`geom_decision_boundary()`	Decision-boundary region plot
`geom_density()`	Density curve layer
`geom_dose_response()`	Dose-response curve
`geom_dotplot()`	Dot plot
`geom_dumbbell()`	Dumbbell layer (before/after per category)
`geom_embedding()`	Embedding scatter (t-SNE / UMAP / PCA)
`geom_errorbar()`	Error bar layer (`ymin` to `ymax` with caps)
`geom_errorbarh()`	Horizontal error bars
`geom_forecast_band()`	Time-series forecast with confidence bands
`geom_forest()`	Forest plot
`geom_freqpoly()`	Frequency polygon
`geom_function()`	Curve of a function
`geom_funnel()`	Conversion funnel
`geom_histogram()`	Histogram layer
`geom_hline()`	Horizontal reference line
`geom_jitter()`	Jittered point layer (strip charts)
`geom_km()`	Kaplan-Meier survival curve layer
`geom_label()`	Text on a background plate
`geom_learning_curve()`	Learning curve
`geom_lift_gain()`	Lift and cumulative gain curves
`geom_line()`	Line layer (points connected in x order)
`geom_linerange()`	Vertical interval without a marker
`geom_network()`	Network (node-link) diagram
`geom_parallel()`	Parallel coordinates plot
`geom_partial_dependence()`	Partial dependence and ICE curves
`geom_path()`	Path layer (points connected in data order)
`geom_point()`	Scatter-plot layer: one point per observation
`geom_pointrange()`	Point-range layer (interval plus midpoint; forest-plot building block)
`geom_polygon()`	Polygons
`geom_qq()` `geom_qq_line()`	Quantile-quantile plot
`geom_quantile()`	Quantile regression lines
`geom_radar()`	Radar (spider / star) chart
`geom_raster()`	Raster
`geom_rect()`	Rectangles
`geom_residual()`	Residual diagnostic plot
`geom_ribbon()`	Ribbon layer (band between `ymin` and `ymax`)
`geom_ridgeline()`	Ridgeline plot (joyplot)
`geom_roc()`	ROC curve layer
`geom_rug()`	Marginal rug
`geom_sankey()` `geom_alluvial()`	Sankey / alluvial flow diagram
`geom_segment()`	Segment layer (`x`,`y`) to (`xend`,`yend`)
`geom_shap()`	SHAP value beeswarm
`geom_shift()`	Categorical shift plot
`geom_silhouette()`	Clustering silhouette plot
`geom_smooth()`	Smoothed trend layer
`geom_spaghetti()`	Individual longitudinal trajectories (spaghetti plot)
`geom_spider_response()`	Oncology spider plot
`geom_spoke()`	Spokes (vector field)
`geom_step()`	Step layer (staircase line)
`geom_stream()`	Streamgraph
`geom_swimmer()`	Swimmer plot
`geom_text()`	Text label layer
`geom_tile()`	Tile layer (heatmap cells)
`geom_treemap()`	Treemap
`geom_upset()`	UpSet plot (set intersections)
`geom_violin()`	Violin layer
`geom_vline()`	Vertical reference line
`geom_waterfall()`	Waterfall chart layer (running total of signed changes)
`geom_waterfall_response()`	RECIST best-response waterfall
`ggnext()`	Create a new ggnext plot
`ggnext_logo()`	Draw the ggnext hex sticker
`ggtitle()`	Set the plot title (and optionally the subtitle)
`Interact()` `interact()`	Add interactivity to a plot
`labs()`	Set plot and axis labels
`lims()`	Set both axis limits at once
`plot_data()`	Extract the exact data a plot draws
`plot_size()`	Set the output size
`render()`	Render a ggnext plot
`scale_breaks()`	Compute tick breaks for a trained scale
`scale_color_gradient()`	Set the continuous color gradient
`scale_color_manual()`	Set the discrete color palette
`scale_map()`	Map data values through a trained scale onto [0, 1]
`scale_train()`	Train a scale on data values
`scale_x_continuous()` `scale_y_continuous()`	Continuous scale for the x axis
`scale_x_discrete()`	Discrete positional scale for the x axis
`scale_x_log10()` `scale_y_log10()` `scale_x_sqrt()` `scale_y_sqrt()` `scale_x_reverse()` `scale_y_reverse()`	Log10 and square-root scales
`scale_y_discrete()`	Discrete positional scale for the y axis
`stat_bin()`	Bin observations (histogram counts)
`stat_boxplot()`	Five-number summary for boxplots
`stat_count()`	Count observations at each x
`stat_density()`	Kernel density estimate
`stat_identity()`	Identity statistical transformation
`stat_jitter()`	Jitter positions for strip charts
`stat_km()`	Kaplan-Meier survival estimate
`stat_roc()`	Empirical ROC curve
`stat_smooth()`	Fitted trend line with confidence band
`stat_waterfall()`	Running totals for waterfall charts
`stat_ydensity()`	Mirrored y-density for violins
`Theme()` `theme()`	Customize theme settings
`theme_classic()`	Classic theme: white panel, black axes, no gridlines
`theme_dark()`	Dark theme
`theme_ggnext()`	The default ggnext theme
`theme_minimal()`	Minimal theme: no panel fill, light grey gridlines
`theme_modern()`	Modern theme: airy, high-contrast, horizontal rules only
`theme_void()`	Void theme: data only, no chrome at all
`write_plot_data()`	Write the exact plot data to CSV
`xlab()`	Set the x axis title
`xlim()` `ylim()`	Set continuous axis limits
`ylab()`	Set the y axis title

Reference

All functions