Function reference • ggdist

Package overview Overview of ggdist.
	`ggdist-package` `ggdist`	Visualizations of Distributions and Uncertainty
Point summaries and intervals Calculate point summaries and intervals
	`point_interval()` `qi()` `ll()` `ul()` `hdi()` `Mode()` `hdci()` `mean_qi()` `median_qi()` `mode_qi()` `mean_ll()` `median_ll()` `mode_ll()` `mean_ul()` `median_ul()` `mode_ul()` `mean_hdi()` `median_hdi()` `mode_hdi()` `mean_hdci()` `median_hdci()` `mode_hdci()`	Point and interval summaries for tidy data frames of draws from distributions
	`curve_interval()`	Curvewise point and interval summaries for tidy data frames of draws from distributions
	`cut_cdf_qi()`	Categorize values from a CDF into quantile intervals
Visualizing sample data and distribution vectors Stats for visualizing tidy data frames of draws (e.g. sample data, draws from a bootstrap distributation, draws from a Bayesian posterior) and distribution vectors (such as distributional objects and `posterior::rvar()`s).
	`stat_slabinterval()`	Slab + interval plots for sample data and analytical distributions (ggplot stat)
	`stat_pointinterval()`	Point + multiple-interval plot (shortcut stat)
	`stat_interval()`	Multiple-interval plot (shortcut stat)
	`stat_slab()`	Slab (ridge) plot (shortcut stat)
	`stat_halfeye()`	Half-eye (density + interval) plot (shortcut stat)
	`stat_eye()`	Eye (violin + interval) plot (shortcut stat)
	`stat_ccdfinterval()`	CCDF bar plot (shortcut stat)
	`stat_cdfinterval()`	CDF bar plot (shortcut stat)
	`stat_gradientinterval()`	Gradient + interval plot (shortcut stat)
	`stat_histinterval()`	Histogram + interval plot (shortcut stat)
	`stat_spike()`	Spike plot (ggplot2 stat)
	`stat_dotsinterval()`	Dots + point + interval plot (shortcut stat)
	`stat_dots()`	Dot plot (shortcut stat)
	`stat_lineribbon()`	Line + multiple-ribbon plot (shortcut stat)
	`stat_ribbon()`	Multiple-ribbon plot (shortcut stat)
Visualizing already-summarized data Geoms for visualizing data that has already been summarized (e.g. into density function evaluations, points, intervals, etc).
	`geom_slabinterval()`	Slab + point + interval meta-geom
	`geom_pointinterval()`	Point + multiple-interval plot (shortcut geom)
	`geom_interval()`	Multiple-interval plot (shortcut geom)
	`geom_slab()`	Slab (ridge) plot (shortcut geom)
	`geom_spike()`	Spike plot (ggplot2 geom)
	`geom_dotsinterval()`	Automatic dotplot + point + interval meta-geom
	`geom_dots()`	Dot plot (shortcut geom)
	`geom_weave()`	Dot-weave plot (shortcut geom)
	`geom_swarm()`	Beeswarm plot (shortcut geom)
	`geom_lineribbon()`	Line + multiple-ribbon plots (ggplot geom)
Distributions Helper functions for manipulating and visualizing analytical distributions.
	`parse_dist()` `r_dist_name()`	Parse distribution specifications into columns of a data frame
	`dstudent_t()` `pstudent_t()` `qstudent_t()` `rstudent_t()`	Scaled and shifted Student's t distribution
	`dlkjcorr_marginal()` `plkjcorr_marginal()` `qlkjcorr_marginal()` `rlkjcorr_marginal()`	Marginal distribution of a single correlation from an LKJ distribution
	`marginalize_lkjcorr()`	Turn spec for LKJ distribution into spec for marginal LKJ distribution
GGplot scales Scales for custom aesthetics used by ggdist geoms and stats
	`scale_point_colour_discrete()` `scale_point_color_discrete()` `scale_point_colour_continuous()` `scale_point_color_continuous()` `scale_point_fill_discrete()` `scale_point_fill_continuous()` `scale_point_alpha_continuous()` `scale_point_alpha_discrete()` `scale_point_size_continuous()` `scale_point_size_discrete()` `scale_interval_colour_discrete()` `scale_interval_color_discrete()` `scale_interval_colour_continuous()` `scale_interval_color_continuous()` `scale_interval_alpha_continuous()` `scale_interval_alpha_discrete()` `scale_interval_size_continuous()` `scale_interval_size_discrete()` `scale_interval_linetype_discrete()` `scale_interval_linetype_continuous()` `scale_slab_colour_discrete()` `scale_slab_color_discrete()` `scale_slab_colour_continuous()` `scale_slab_color_continuous()` `scale_slab_fill_discrete()` `scale_slab_fill_continuous()` `scale_slab_alpha_continuous()` `scale_slab_alpha_discrete()` `scale_slab_size_continuous()` `scale_slab_size_discrete()` `scale_slab_linewidth_continuous()` `scale_slab_linewidth_discrete()` `scale_slab_linetype_discrete()` `scale_slab_linetype_continuous()` `scale_slab_shape_discrete()` `scale_slab_shape_continuous()` `guide_colourbar2()` `guide_colorbar2()`	Custom ggplot scales for geom_slabinterval (and derivatives)
	`scale_colour_ramp_continuous()` `scale_color_ramp_continuous()` `scale_colour_ramp_discrete()` `scale_color_ramp_discrete()` `scale_fill_ramp_continuous()` `scale_fill_ramp_discrete()`	Secondary ggplot color scale that ramps from another color
	`guide_rampbar()`	Continuous colour ramp guide
	`scale_thickness_shared()` `scale_thickness_identity()` `thickness()`	Scale for slab thickness
	`scale_side_mirrored()`	Side scale for mirrored slabs
GGplot positions Positions for dodging geoms and stats
	`position_dodgejust()`	Dodge overlapping objects side-to-side, preserving justification
GGplot theme ggdist theme for ggplot2
	`theme_ggdist()` `theme_tidybayes()` `facet_title_horizontal()` `axis_titles_bottom_left()` `facet_title_left_horizontal()` `facet_title_right_horizontal()`	Simple, light ggplot2 theme for ggdist and tidybayes
Dotplot layout algorithms Algorithms used by `geom_dotsinterval()` for automatically determining nice-looking dotplot binwidths and laying out dots.
	`find_dotplot_binwidth()`	Dynamically select a good bin width for a dotplot
	`bin_dots()`	Bin data values using a dotplot algorithm
	`smooth_bounded()` `smooth_unbounded()`	Smooth dot positions in a dotplot using a kernel density estimator ("density dotplots")
	`smooth_discrete()` `smooth_bar()`	Smooth dot positions in a dotplot of discrete values ("bar dotplots")
	`smooth_none()`	Apply no smooth to a dotplot
Density functions Density functions used by `stat_slabinterval()` and by the density smoothers for dotplot layout.
	`density_bounded()`	Bounded density estimator using the reflection method
	`density_unbounded()`	Unbounded density estimator
	`density_histogram()`	Histogram density estimator
Bandwidth estimators Bandwidth estimators for use with `density_unbounded()` and `density_bounded()`.
	`bandwidth_nrd0()` `bandwidth_nrd()` `bandwidth_ucv()` `bandwidth_bcv()` `bandwidth_SJ()` `bandwidth_dpi()`	Bandwidth estimators
Distribution bounds estimators Distribution bounds estimators for use with `density_bounded()`.
	`bounder_cdf()`	Estimate bounds of a distribution using the CDF of its order statistics
	`bounder_cooke()`	Estimate bounds of a distribution using Cooke's method
	`bounder_range()`	Estimate bounds of a distribution using the range of the sample
Histogram layout algorithms Algorithms for bin selection and alignment for use with `density_histogram()`.
	`breaks_fixed()` `breaks_Sturges()` `breaks_Scott()` `breaks_FD()`	Break (bin) selection algorithms for histograms
	`align_none()` `align_boundary()` `align_center()`	Break (bin) alignment methods
Automatic partial functions Overview of automatic partial function application (currying) used by several ggdist function families
	`automatic-partial-functions`	Automatic partial function application in ggdist
Probability expressions Experimental mini-domain-specific language for probability expressions in `stat_slabinterval()` aesthetics.
	`Pr_()` `p_()`	Probability expressions in ggdist aesthetics
Weighted quantiles and CDFs Weighted generalizations of `quantile()` and `ecdf()` used internally by several algorithms.
	`weighted_quantile()` `weighted_quantile_fun()`	Weighted sample quantiles
	`weighted_ecdf()`	Weighted empirical cumulative distribution function
Compatibility with other packages Functions to convert the ggdist naming scheme (for `point_interval()`) to and from other packages’ naming schemes.
	`to_broom_names()` `from_broom_names()` `to_ggmcmc_names()` `from_ggmcmc_names()`	Translate between different tidy data frame formats for draws from distributions
Datasets Datasets used for examples and testing
	`RankCorr` `RankCorr_u_tau`	Thinned subset of posterior sample from a Bayesian analysis of perception of correlation.
Deprecated functions Deprecated functions.
	`ggdist-deprecated` `StatSampleSlabinterval` `stat_sample_slabinterval` `StatDistSlabinterval` `stat_dist_slabinterval` `stat_dist_halfeye` `stat_dist_eye` `stat_dist_ccdfinterval` `stat_dist_cdfinterval` `stat_dist_gradientinterval` `stat_dist_slab` `stat_dist_pointinterval` `stat_dist_interval` `stat_dist_lineribbon` `stat_dist_dotsinterval` `stat_dist_dots`	Deprecated functions and arguments in ggdist

Reference

Package overview

Point summaries and intervals

Visualizing sample data and distribution vectors

Visualizing already-summarized data

Distributions

GGplot scales

GGplot positions

GGplot theme

Dotplot layout algorithms

Density functions

Bandwidth estimators

Distribution bounds estimators

Histogram layout algorithms

Automatic partial functions

Probability expressions

Weighted quantiles and CDFs

Compatibility with other packages

Datasets

Deprecated functions