Add Uncertainty to Data Visualisations

A 'ggplot2' extension for visualising uncertainty with the goal of signal suppression. Usually, uncertainty visualisation focuses on expressing uncertainty as a distribution or probability, whereas 'ggdibbler' differentiates itself by viewing an uncertainty visualisation as an adjustment to an existing graphic that incorporates the inherent uncertainty in the estimates. You provide the code for an existing plot, but replace any of the variables with a vector of distributions, and it will convert the visualisation into it's signal suppression counterpart.


Reference manual

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install.packages("ggdibbler")

0.6.5 by Harriet Mason, 5 months ago


https://harriet-mason.github.io/ggdibbler/, https://github.com/harriet-mason/ggdibbler


Report a bug at https://github.com/harriet-mason/ggdibbler/issues


Browse source code at https://github.com/cran/ggdibbler


Authors: Harriet Mason [aut, cre] (ORCID: , Dianne Cook [aut, ths] , Sarah Goodwin [aut, ths] (ORCID: , Susan VanderPlas [aut, ths] (ORCID:


Documentation:   PDF Manual  


GPL-3 license


Imports distributional, dplyr, ggplot2, rlang, lifecycle, scales, tidyr, tibble, cli, sf

Suggests knitr, rmarkdown, testthat, vdiffr, mgcv, fable, urca, gganimate, tidyverse, tidygraph, ggthemes, gifski, ggridges, quantreg, ggdist, ggraph, feasts, patchwork


See at CRAN