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?
Package: ggdibbler 0.6.5.9000
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 any of the variables with a vector of distributions, and it will convert the visualisation into it's signal suppression counterpart.
Authors:
ggdibbler_0.6.5.9000.tar.gz
ggdibbler_0.6.5.9000.zip(r-4.7)ggdibbler_0.6.5.9000.zip(r-4.6)ggdibbler_0.6.5.9000.zip(r-4.5)
ggdibbler_0.6.5.9000.tgz(r-4.6-any)ggdibbler_0.6.5.9000.tgz(r-4.5-any)
ggdibbler_0.6.5.9000.tar.gz(r-4.7-any)ggdibbler_0.6.5.9000.tar.gz(r-4.6-any)
ggdibbler_0.6.5.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ggdibbler/json (API)
| # Install 'ggdibbler' in R: |
| install.packages('ggdibbler', repos = c('https://harriet-mason.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/harriet-mason/ggdibbler/issues
Pkgdown/docs site:https://harriet-mason.github.io
Datasets:
- smaller_diamonds - An uncertain (and shrunk down) version of the diamonds data from'ggplot2'
- smaller_uncertain_diamonds - An uncertain (and shrunk down) version of the diamonds data from'ggplot2'
- toy_temp - A toy data set that has the ambient temperature as measured by a collection of citizen scientists for each Iowa county
- toy_temp_dist - A toy data set that provides data for a map with the temperature of each area represented by a random variable.
- uncertain_diamonds - An uncertain (and shrunk down) version of the diamonds data from'ggplot2'
- uncertain_economics - An uncertain version of the economics data from'ggplot2'
- uncertain_economics_long - An uncertain version of the economics data from'ggplot2'
- uncertain_faithful - Old Faithful data with uncertainty
- uncertain_faithfuld - 2d density estimate of Old Faithful data with uncertainty
- uncertain_mpg - An uncertain version of the MPG data from 'ggplot2'
- uncertain_mtcars - An uncertain version of the mtcars data from base R 'datasets'
- walktober - Step Counts from Walktober 2025 Challenge
Last updated from:fe4939729b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 304 | ||
| source / vignettes | OK | 382 | ||
| linux-release-x86_64 | OK | 243 | ||
| macos-release-arm64 | OK | 256 | ||
| macos-oldrel-arm64 | OK | 338 | ||
| windows-devel | OK | 292 | ||
| windows-release | OK | 262 | ||
| windows-oldrel | OK | 283 | ||
| wasm-release | OK | 163 |
Exports:dibble_to_tibblegeom_abline_samplegeom_area_samplegeom_bar_samplegeom_bin_2d_samplegeom_boxplot_samplegeom_col_samplegeom_contour_filled_samplegeom_contour_samplegeom_count_samplegeom_crossbar_samplegeom_curve_samplegeom_density_2d_filled_samplegeom_density_2d_samplegeom_density_samplegeom_density2d_filled_samplegeom_density2d_samplegeom_dotplot_samplegeom_errorbar_samplegeom_freqpoly_samplegeom_hex_samplegeom_histogram_samplegeom_hline_samplegeom_jitter_samplegeom_label_samplegeom_line_samplegeom_linerange_samplegeom_path_samplegeom_point_samplegeom_pointrange_samplegeom_polygon_samplegeom_qq_line_samplegeom_qq_samplegeom_quantile_samplegeom_raster_samplegeom_rect_samplegeom_ribbon_samplegeom_rug_samplegeom_segment_samplegeom_sf_samplegeom_smooth_samplegeom_spoke_samplegeom_step_samplegeom_text_samplegeom_tile_samplegeom_violin_samplegeom_vline_sampleposition_dodge_dodgeposition_dodge_identityposition_identity_dodgeposition_identity_identityposition_identity_stackposition_nestposition_stack_dodgeposition_stack_identityposition_subdividePositionDodgeDodgePositionDodgeIdentityPositionIdentityDodgePositionIdentityStackPositionNestPositionStackDodgePositionStackIdentityPositionSubdividesample_expandscale_x_continuous_distributionscale_x_discrete_distributionscale_y_continuous_distributionscale_y_discrete_distributionstat_align_samplestat_bin_2d_samplestat_bin_hex_samplestat_bin_samplestat_boxplot_samplestat_connect_samplestat_contour_filled_samplestat_contour_samplestat_count_samplestat_density_2d_filled_samplestat_density_2d_samplestat_density_samplestat_ecdf_samplestat_ellipse_samplestat_identity_samplestat_manual_samplestat_qq_line_samplestat_qq_samplestat_quantile_samplestat_smooth_samplestat_sum_samplestat_summary_2d_samplestat_summary_bin_samplestat_summary_hex_samplestat_summary_samplestat_unique_samplestat_ydensity_sampleStatAlignSampleStatBin2dSampleStatBindotSampleStatBinhexSampleStatBinSampleStatBoxplotSampleStatConnectSampleStatContourFilledSampleStatContourSampleStatCountSampleStatDensity2dFilledSampleStatDensity2dSampleStatDensitySampleStatEcdfSampleStatEllipseSampleStatIdentitySampleStatManualSampleStatQqLineSampleStatQqSampleStatQuantileSampleStatSfSampleStatSmoothSampleStatSummary2dSampleStatSummaryBinSampleStatSummaryHexSampleStatSummarySampleStatSumSampleStatUniqueSampleStatYdensitySample
Dependencies:classclassIntclicpp11DBIdistributionaldplyre1071farvergenericsggplot2gluegtableisobandKernSmoothlabelinglifecyclemagrittrMASSnumDerivpillarpkgconfigproxypurrrR6RColorBrewerRcpprlangs2S7scalessfstringistringrtibbletidyrtidyselectunitsutf8vctrsviridisLitewithrwk
Get started with ggdibbler
Last update: 2026-01-14
Started: 2025-12-02
Unexpected behaviour of random plots
Saving plots | Calling the same variable twice | Random variables don't always "look" random
Last update: 2026-01-14
Started: 2025-12-02
The philosophy of ggdibbler
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
Last update: 2026-01-14
Started: 2025-12-02
Help for ggplot extenders
Your old ggplot extension can learn new tricks | Implementing uncertainty visualisation as a nested stat | Geoms | Stats
Last update: 2026-01-01
Started: 2025-12-02
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Reference lines with uncertainty: horizontal, vertical, and diagonal | geom_abline_sample geom_hline_sample geom_vline_sample |
| Uncertain Bar Charts | geom_bar_sample geom_col_sample StatCountSample stat_count_sample |
| Uncertain heatmap of 2d bin counts | geom_bin_2d_sample StatBin2dSample stat_bin_2d_sample |
| An uncertain box and whiskers plot (in the style of Tukey) | geom_boxplot_sample StatBoxplotSample stat_boxplot_sample |
| Uncertain 2D contours of a 3D surface | geom_contour_filled_sample geom_contour_sample StatContourFilledSample StatContourSample stat_contour_filled_sample stat_contour_sample |
| Uncertain Count overlapping points | geom_count_sample StatDensitySample StatSumSample stat_sum_sample |
| Vertical intervals: lines, crossbars & errorbars with uncertainty | geom_crossbar_sample geom_errorbar_sample geom_linerange_sample geom_pointrange_sample |
| Line segments and curves with uncertainty | geom_curve_sample geom_segment_sample |
| Uncertain contours of a 2D density estimate | geom_density2d_filled_sample geom_density2d_sample geom_density_2d_filled_sample geom_density_2d_sample StatDensity2dFilledSample StatDensity2dSample stat_density_2d_filled_sample stat_density_2d_sample |
| Visualise densities with Uncertainty | geom_density_sample stat_density_sample |
| Dot plot with uncertainty | geom_dotplot_sample StatBindotSample |
| Histograms and frequency polygons with uncertainty | geom_freqpoly_sample geom_histogram_sample StatBinSample stat_bin_sample |
| Uncertain hexagonal heatmap of 2d bin counts | geom_hex_sample StatBinhexSample stat_bin_hex_sample |
| Uncertain Jittered Points | geom_jitter_sample |
| Uncertain Text | geom_label_sample geom_text_sample |
| Uncertain Connected observations | geom_line_sample geom_path_sample geom_step_sample |
| Visualise Uncertain Points | geom_point_sample |
| Uncertain Polygons | geom_polygon_sample |
| Quantile regression with uncertainty | geom_quantile_sample StatQuantileSample stat_quantile_sample |
| Plot rectangles with uncertainty | geom_raster_sample geom_rect_sample geom_tile_sample |
| Ribbons and area plots with uncertainty | geom_area_sample geom_ribbon_sample StatAlignSample stat_align_sample |
| Uncertain Rug plots in the margins | geom_rug_sample |
| Visualise Sf Objects with Uncertainty | geom_sf_sample StatSfSample |
| Uncertain Smooth | geom_smooth_sample StatSmoothSample stat_smooth_sample |
| Line segments parameterised by location, direction and distance, with uncertainty | geom_spoke_sample |
| Violin plots with uncertainty | geom_violin_sample StatYdensitySample stat_ydensity_sample |
| Nested dodge positions | PositionDodgeDodge PositionDodgeIdentity PositionIdentityDodge position_dodge_dodge position_dodge_identity position_dodge_nested position_identity_dodge |
| Nested identity positions | position_identity_identity |
| Any combination of nested positions | PositionNest position_nest |
| Nested stack positions | PositionIdentityStack PositionStackDodge PositionStackIdentity position_identity_stack position_stack_dodge position_stack_identity position_stack_nested |
| Subdivide position aesthetic in a geometry | PositionSubdivide position_subdivide |
| Simulate outcomes from dibble to make a tibble | dibble_to_tibble sample_expand |
| Position scales for continuous distributions | scale_continuous_distribution scale_x_continuous_distribution scale_y_continuous_distribution |
| Position scales for discrete distributions | scale_discrete_distribution scale_x_discrete_distribution scale_y_discrete_distribution |
| Sets scale for distributions | scale_type.distribution |
| An uncertain (and shrunk down) version of the diamonds data from`ggplot2` | smaller_diamonds smaller_uncertain_diamonds uncertain_diamonds |
| Connect uncertain observations | StatConnectSample stat_connect_sample |
| Compute uncertain empirical cumulative distributions | StatEcdfSample stat_ecdf_sample |
| Compute normal data ellipses with uncertainty | StatEllipseSample stat_ellipse_sample |
| Generates a sample from a distribution | StatIdentitySample stat_identity_sample |
| Manually compute transformations with uncertainty | StatManualSample stat_manual_sample |
| A quantile-quantile plot with uncertainty | geom_qq_line_sample geom_qq_sample StatQqLineSample StatQqSample stat_qq_line_sample stat_qq_sample |
| Bin and summarise in 2d (rectangle & hexagons) with uncertain inputs | StatSummary2dSample StatSummaryHexSample stat_summary_2d_sample stat_summary_hex_sample |
| Summarise y values at unique/binned x with uncertainty | StatSummaryBinSample StatSummarySample stat_summary_bin_sample stat_summary_sample |
| Remove duplicates (with uncertainty?) | StatUniqueSample stat_unique_sample |
| A toy data set that has the ambient temperature as measured by a collection of citizen scientists for each Iowa county | toy_temp |
| A toy data set that provides data for a map with the temperature of each area represented by a random variable. | toy_temp_dist |
| An uncertain version of the economics data from`ggplot2` | uncertain_economics uncertain_economics_long |
| Old Faithful data with uncertainty | uncertain_faithful |
| 2d density estimate of Old Faithful data with uncertainty | uncertain_faithfuld |
| An uncertain version of the MPG data from `ggplot2` | uncertain_mpg |
| An uncertain version of the mtcars data from base R `datasets` | uncertain_mtcars |
| Step Counts from Walktober 2025 Challenge | walktober |
