A Next-Generation Grammar of Graphics

Documentation for package ‘ggnext’ version 0.1.0

Help Pages

-- A --

aes	Construct aesthetic mappings
animate	Animate a plot over a transition variable
Animation	Animation: a transition spec bound to a data variable

-- B --

build_marks	Build drawing primitives ("marks") from scaled aesthetic values
build_site	Build the ggnext documentation site

-- C --

ColorScale	ColorScale: palette override for the color aesthetic
compute_stat	Apply a stat's transformation to evaluated aesthetic values
Coord	Coord: position transformation for normalized coordinates
CoordCartesian	CoordCartesian: the identity coordinate system
CoordPolar	CoordPolar: polar coordinate system
coord_cartesian	Cartesian coordinate system
coord_flip	Flipped Cartesian coordinates
coord_polar	Polar coordinates
coord_transform	Transform normalized positions through a coordinate system

-- F --

Facet	Facet: split a plot into panels by data values
facet_grid	Lay panels out in a rows-by-columns grid
facet_wrap	Wrap panels into a grid

-- G --

Geom	Geom: geometric representation of computed values
geom_abline	Sloped reference line
geom_ae_heatmap	Adverse-event incidence heatmap
geom_alluvial	Alluvial diagram (ordered, repeated-measures categorical flow)
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_concordance	Concordance / agreement plot
geom_confusion_matrix	Confusion matrix
geom_consort	CONSORT participant flow diagram
geom_cor	Correlation matrix heatmap
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_dendrogram	Hierarchical clustering dendrogram
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_hr	Hazard ratio forest plot (Cox proportional hazards)
geom_importance	Feature importance plot
geom_jitter	Jittered point layer (strip charts)
geom_km	Kaplan-Meier survival curve layer
geom_km_risktable	Number-at-risk table for a Kaplan-Meier curve
geom_label	Text on a background plate
geom_learning_curve	Learning curve
geom_leverage	Leverage / Cook's distance plot
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_missing_pattern	Missing-data pattern plot
geom_nelson_aalen	Nelson-Aalen cumulative hazard curve layer
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_pr	Precision-recall curve
geom_qq	Quantile-quantile plot
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	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_smd	Baseline covariate balance (standardized mean difference) 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
GgnextPlot	GgnextPlot: the complete plot specification
ggnext_logo	Draw the ggnext hex sticker
ggtitle	Set the plot title (and optionally the subtitle)

-- I --

Interact	Add interactivity to a plot
interact	Add interactivity to a plot

-- L --

Labels	Labels: plot title block and axis/legend titles
labs	Set plot and axis labels
Layer	Layer: one geom + stat + data/mapping overrides
lims	Set both axis limits at once

-- P --

plot_check	Print a plot's validation findings and return the plot, unchanged
plot_data	Extract the exact data a plot draws
plot_size	Set the output size

-- R --

render

Render a ggnext plot

-- S --

Scale	Scale: map data values onto a normalized visual range
ScaleContinuous	ScaleContinuous: linear continuous positional scale
ScaleDiscrete	ScaleDiscrete: positional scale for categorical data
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	Continuous scale for the x axis
scale_x_discrete	Discrete positional scale for the x axis
scale_x_log10	Log10 and square-root scales
scale_x_reverse	Log10 and square-root scales
scale_x_sqrt	Log10 and square-root scales
scale_y_continuous	Continuous scale for the x axis
scale_y_discrete	Discrete positional scale for the y axis
scale_y_log10	Log10 and square-root scales
scale_y_reverse	Log10 and square-root scales
scale_y_sqrt	Log10 and square-root scales
Stat	Stat: statistical transformation applied to layer data
stat_bin	Bin observations (histogram counts)
stat_boxplot	Five-number summary for boxplots
stat_count	Count observations at each x
stat_coxph	Hazard ratios from a Cox proportional-hazards model
stat_density	Kernel density estimate
stat_identity	Identity statistical transformation
stat_jitter	Jitter positions for strip charts
stat_km	Kaplan-Meier survival estimate
stat_km_risktable	Number-at-risk table for a Kaplan-Meier curve
stat_nelson_aalen	Nelson-Aalen cumulative hazard estimate
stat_pr	Empirical precision-recall curve
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

-- T --

Theme	Customize theme settings
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

-- V --

validate_plot

Check a plot for common statistical-graphics mistakes

-- W --

write_plot_data

Write the exact plot data to CSV

-- X --

xlab	Set the x axis title
xlim	Set continuous axis limits

-- Y --

ylab	Set the y axis title
ylim	Set continuous axis limits