About | Installation | Examples | Calculating the scagnostics | Using the scagnostics | Drawing functions | References

TLDR - What is ggdibbler? | The unfamiliar stuff | Using distributional | Using nested positions | Examples | Working directly with model output | A basic geom_abline | A more complicated case with geom_sf | What about animated plots? | What if my plot uses ggplot2 extensions?

Saving plots | Calling the same variable twice | Random variables don't always "look" random

The ggdibbler philosophy | How ggdibbler works | What is uncertainty visualisation? | Random variables as "units" in distributional | Uncertainty visualisations as random variable | Visual interference and emergent aesthetics | Conclusion

Your old ggplot extension can learn new tricks | Implementing uncertainty visualisation as a nested stat | Geoms | Stats