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ggdibbler: 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 one of the variables with a
vector of distributions, and it will convert the visualisation into
it's signal suppression counterpart.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
distributional, dplyr, ggplot2, rlang, sf |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0), vdiffr |
| Published: |
2025-07-31 |
| DOI: |
10.32614/CRAN.package.ggdibbler |
| Author: |
Harriet Mason 
[aut, cre],
Dianne Cook [aut],
Sarah Goodwin
[aut],
Susan VanderPlas
[aut] |
| Maintainer: |
Harriet Mason <harriet.m.mason at gmail.com> |
| License: |
GPL-3 |
| URL: |
https://harriet-mason.github.io/ggdibbler/ |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
ggdibbler results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ggdibbler
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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