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ggdist  

Visualizations of Distributions and Uncertainty
View on CRAN: Click here


Download and install ggdist package within the R console
Install from CRAN:
install.packages("ggdist")

Install from Github:
library("remotes")
install_github("cran/ggdist")

Install by package version:
library("remotes")
install_version("ggdist", "3.3.2")



Attach the package and use:
library("ggdist")
Maintained by
Matthew Kay
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-14
Latest Update: 2023-05-13
Description:
Provides primitives for visualizing distributions using 'ggplot2' that are particularly tuned for visualizing uncertainty in either a frequentist or Bayesian mode. Both analytical distributions (such as frequentist confidence distributions or Bayesian priors) and distributions represented as samples (such as bootstrap distributions or Bayesian posterior samples) are easily visualized. Visualization primitives include but are not limited to: points with multiple uncertainty intervals, eye plots (Spiegelhalter D., 1999) , density plots, gradient plots, dot plots (Wilkinson L., 1999) , quantile dot plots (Kay M., Kola T., Hullman J., Munson S., 2016) , complementary cumulative distribution function barplots (Fernandes M., Walls L., Munson S., Hullman J., Kay M., 2018) , and fit curves with multiple uncertainty ribbons.
How to cite:
Matthew Kay (2020). ggdist: Visualizations of Distributions and Uncertainty. R package version 3.3.2, https://cran.r-project.org/web/packages/ggdist
Previous versions and publish date:
2.1.1 (2020-06-14 18:30), 2.2.0 (2020-07-12 07:30), 2.3.0 (2020-10-31 01:50), 2.4.0 (2021-01-04 22:20), 2.4.1 (2021-06-10 09:50), 3.0.0 (2021-07-19 12:30), 3.0.1 (2021-11-30 07:50), 3.1.0 (2022-02-13 04:30), 3.1.1 (2022-02-27 07:00), 3.2.0 (2022-07-19 18:40), 3.2.1 (2023-01-18 10:00), 3.3.0 (2023-05-13 23:20), 3.3.1 (2023-11-27 07:00)
Other packages that cited ggdist R package
View ggdist citation profile
Other R packages that ggdist depends, imports, suggests or enhances
Functions, R codes and Examples using the ggdist R package
Some associated functions: Pr_ . RankCorr . align . auto_partial . bandwidth . bin_dots . bounder_cdf . bounder_cooke . bounder_range . breaks . curve_interval . cut_cdf_qi . density_bounded . density_histogram . density_unbounded . find_dotplot_binwidth . geom_dots . geom_dotsinterval . geom_interval . geom_lineribbon . geom_pointinterval . geom_slab . geom_slabinterval . geom_spike . geom_swarm . geom_weave . ggdist-deprecated . ggdist-ggproto . ggdist-package . guide_rampbar . lkjcorr_marginal . marginalize_lkjcorr . parse_dist . point_interval . position_dodgejust . scale_colour_ramp . scale_side_mirrored . scale_thickness . scales . smooth_density . smooth_discrete . smooth_none . stat_ccdfinterval . stat_cdfinterval . stat_dots . stat_dotsinterval . stat_eye . stat_gradientinterval . stat_halfeye . stat_histinterval . stat_interval . stat_lineribbon . stat_pointinterval . stat_ribbon . stat_slab . stat_slabinterval . stat_spike . student_t . theme_ggdist . tidy-format-translators . weighted_ecdf . weighted_quantile . 
Some associated R codes: RcppExports.R . abstract_geom.R . abstract_stat.R . abstract_stat_slabinterval.R . auto_partial.R . binning_methods.R . bounder.R . curve_interval.R . cut_cdf_qi.R . data.R . density.R . deprecated.R . distributions.R . draw_key_slabinterval.R . geom.R . geom_dotsinterval.R . geom_interval.R . geom_lineribbon.R . geom_pointinterval.R . geom_slab.R . geom_slabinterval.R . geom_spike.R . geom_swarm.R . ggdist-package.R . guide_rampbar.R . lkjcorr_marginal.R . parse_dist.R . point_interval.R . position_dodgejust.R . pr.R . rd.R . rd_dotsinterval.R . rd_lineribbon.R . rd_slabinterval.R . rd_spike.R . scale_.R . scale_colour_ramp.R . scale_side_mirrored.R . scale_thickness.R . smooth.R . stat.R . stat_dotsinterval.R . stat_interval.R . stat_lineribbon.R . stat_pointinterval.R . stat_slabinterval.R . stat_spike.R . student_t.R . testthat.R . theme_ggdist.R . tidy_format_translators.R . util.R . weighted_ecdf.R . weighted_hist.R . weighted_quantile.R .  Full ggdist package functions and examples
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