Visualizing distributions and uncertainty using ggdist
summary
ggdist is an R extension to ggplot2 that maps PDFs CDFs and quantiles onto aesthetics to build uncertainty plots. It accepts samples or distributional vector objects, auto-detects discrete distributions (Poisson → histogram), corrects densities under transforms (lognormal derivative), sizes dots automatically for combined rainclouds, and supports true gradient support in R 4.1 for zoomable SVG/PDF output. It subdivides slabs to color regions and offers a fill ramp aesthetic for color-to-white ramps.
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chapters (4)
- 0:00Introduction to ggdist
- 0:28Visualizing distributions
- 2:25Advanced visualization examples
- 4:47Conclusion and resources
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