Package overviewOverview of ggdist. |
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Visualizations of Distributions and Uncertainty |
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Point summaries and intervalsCalculate point summaries and intervals |
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Point and interval summaries for tidy data frames of draws from distributions |
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Curvewise point and interval summaries for tidy data frames of draws from distributions |
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Categorize values from a CDF into quantile intervals |
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Visualizing sample data and distribution vectorsStats 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 |
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Slab + interval plots for sample data and analytical distributions (ggplot stat) |
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Point + multiple-interval plot (shortcut stat) |
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Multiple-interval plot (shortcut stat) |
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Slab (ridge) plot (shortcut stat) |
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Half-eye (density + interval) plot (shortcut stat) |
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Eye (violin + interval) plot (shortcut stat) |
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CCDF bar plot (shortcut stat) |
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CDF bar plot (shortcut stat) |
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Gradient + interval plot (shortcut stat) |
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Histogram + interval plot (shortcut stat) |
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Spike plot (ggplot2 stat) |
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Dots + point + interval plot (shortcut stat) |
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Dot plot (shortcut stat) |
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Line + multiple-ribbon plot (shortcut stat) |
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Multiple-ribbon plot (shortcut stat) |
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Visualizing already-summarized dataGeoms for visualizing data that has already been summarized (e.g. into density function evaluations, points, intervals, etc). |
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Slab + point + interval meta-geom |
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Point + multiple-interval plot (shortcut geom) |
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Multiple-interval plot (shortcut geom) |
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Slab (ridge) plot (shortcut geom) |
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Spike plot (ggplot2 geom) |
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Automatic dotplot + point + interval meta-geom |
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Dot plot (shortcut geom) |
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Dot-weave plot (shortcut geom) |
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Beeswarm plot (shortcut geom) |
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Line + multiple-ribbon plots (ggplot geom) |
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DistributionsHelper functions for manipulating and visualizing analytical distributions. |
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Parse distribution specifications into columns of a data frame |
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Scaled and shifted Student's t distribution |
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Marginal distribution of a single correlation from an LKJ distribution |
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Turn spec for LKJ distribution into spec for marginal LKJ distribution |
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GGplot scalesScales for custom aesthetics used by ggdist geoms and stats |
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Custom ggplot scales for geom_slabinterval (and derivatives) |
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Secondary ggplot color scale that ramps from another color |
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Continuous colour ramp guide |
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Scale for slab thickness |
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Side scale for mirrored slabs |
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GGplot positionsPositions for dodging geoms and stats |
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Dodge overlapping objects side-to-side, preserving justification |
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GGplot themeggdist theme for ggplot2 |
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Simple, light ggplot2 theme for ggdist and tidybayes |
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Dotplot layout algorithmsAlgorithms used by |
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Dynamically select a good bin width for a dotplot |
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Bin data values using a dotplot algorithm |
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Smooth dot positions in a dotplot using a kernel density estimator ("density dotplots") |
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Smooth dot positions in a dotplot of discrete values ("bar dotplots") |
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Apply no smooth to a dotplot |
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Density functionsDensity functions used by |
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Bounded density estimator using the reflection method |
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Unbounded density estimator |
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Histogram density estimator |
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Bandwidth estimatorsBandwidth estimators for use with |
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Bandwidth estimators |
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Distribution bounds estimatorsDistribution bounds estimators for use with |
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Estimate bounds of a distribution using the CDF of its order statistics |
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Estimate bounds of a distribution using Cooke's method |
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Estimate bounds of a distribution using the range of the sample |
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Histogram layout algorithmsAlgorithms for bin selection and alignment for use with |
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Break (bin) selection algorithms for histograms |
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Break (bin) alignment methods |
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Automatic partial functionsOverview of automatic partial function application (currying) used by several ggdist function families |
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Automatic partial function application in ggdist |
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Probability expressionsExperimental mini-domain-specific language for probability expressions in |
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Probability expressions in ggdist aesthetics |
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Weighted quantiles and CDFsWeighted generalizations of |
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Weighted sample quantiles |
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Weighted empirical cumulative distribution function |
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Compatibility with other packagesFunctions to convert the ggdist naming scheme (for |
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Translate between different tidy data frame formats for draws from distributions |
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DatasetsDatasets used for examples and testing |
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Thinned subset of posterior sample from a Bayesian analysis of perception of correlation. |
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Deprecated functionsDeprecated functions. |
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Deprecated functions and arguments in ggdist |