Changes in version 0.6.5.9000                      

                        Changes in version 0.6.5                        

  - Fixed reverse dependency problem with ggplot2 boxplot update

                        Changes in version 0.6.4                        

  - Suppressed messages in position subdivide about planar CRS fed into
    st_intersects

                        Changes in version 0.6.3                        

  - Fixed bug that required dyplr to be loaded for subdibivide position
    to work.

                        Changes in version 0.6.2                        

  - Updated diamonds, mpg, and mtcars data so that the ordinal
    distributions are random factors

                 Changes in version 0.6.1 (2025-12-06)                  

  - Removed alpha option

                        Changes in version 0.6.0                        

New featues and data

Geoms & stats

  - stat_connect_sample
  - stat_manual_sample
  - stat_summary_2d_sample / stat_summary_hex_sample
  - stat_summary_sample/`stat_summary_bin_sample``
  - stat_unique_sample

data

  - walktober

                        Changes in version 0.5.0                        

New Featues

Geoms & stats

  - stat_ellipse_sample
  - stat_ecdf_sample
  - stat_density_2d_sample
  - stat_count_sample
  - stat_bin_2d_sample/stat_bin_hex_sample
  - geom_contour_sample
  - geom_bin_2d_sample/ geom_bin_hex_sample

Positions

  - position_stack_nested
  - Nested variations of stack, dodge, and identity (e.g.
    position_identity_dodge)
      - I am not listing all of them here

Changes

  - Changes to default values in geom_point_sample
  - geom_sf_sample now accepts random variables to all aesthetics and
    the subdivision was moved to the position argument
  - position_subdivive had bug fixed and now also works with sf objects

Data

  - Added basic version of Walk-tober data (will update when survey
    finished)

                        Changes in version 0.4.0                        

New Featues

Functions

  - geom_abline_sample/ geom_hline_sample / geom_vline_sample
  - geom_smooth_sample
  - geom_spoke_sample
  - geom_segment_sample/geom_curve
  - geom_ribbon_sample/geom_area
  - geom_boxplot_sample
  - geom_freqpolly_sample / geom_histogram_sample
  - geom_dotplot_sample
  - geom_crossbar_sample / geom_errorbar_sample / geom_linerange_sample
    / geom_pointrange_sample
  - geom_qqline_sample / geom_quantile_sample
  - geom_violin_sample
  - geom_raster_sample / geom_rect_sample / geom_tile_sample

Data sets

  - uncertain_faithfuld an uncertain version of ggplot2::faithfuld

                        Changes in version 0.3.0                        

New Featues

Functions

These functions are all heavily in development, and I cannot (and do
not) guarantee their usability beyond the use cases presented in the
example code. There are still some kinks to work out with the grouping
solution. You are welcome to use them, but I would stick to the example
cases for the next few weeks (don't go crazy with any random fill or
group aesthetics is all I will say). New additions to stats and geoms
include:

  - geom_bar_sample, geom_col_sample and stat_count_sample
  - geom_count_sample and stat_sum_sample
  - geom_jitter_sample
  - geom_density_sample and stat_density_sample
  - geom_text_sample and geom_label_sample
  - geom_polygon_sample
  - geom_rug_sample
  - geom_path_sample, geom_line_sample, and geom_step_sample

We also have the addition of a discrete position distribution scale:

  - scale_x_discrete_distribution & scale_y_discrete_distribution

Data sets

As we go through and replicate the ggplot2 examples, we have been adding
random versions of the ggplot2 data sets. This will make it clear to the
users how the package works, and highlight that the uncertainty
visualisation is a function of an existing graphic.

  - smaller_diamonds is a subset of ggplot2::diamonds
  - smaller_uncertain_diamonds is a random variable version of
    smaller_diamonds
  - uncertain_mpg is a random variable version of ggplot2::mpg
  - uncertain_mtcars is a random variable
  - uncertain_economics and uncertain_economics_longer are random
    variable version of ggplot2::economics

Changes

  - We changed scale_*_distribution to scale_*_continuous_distribution
      - This is because we have included scale_*_discrete_distribution
        to allow plotting of discrete random variables

                        Changes in version 0.2.0                        

New Featues

Functions

  - geom_point_sample and stat_sample
      - an alternative version of geom_point that allows a distribution
        to be passed to any aesthetic
  - scale_x_distribution and scale_y_distribution
      - scale functions that allow distributions to be passed to the
        position axis

Changes

  - The n variable in geom_sf_sample has changed to the times
      - This avoids confusion as n is used by some ggplot2 functions as
        a parameter.
      - times actually represents the sample size, while n was the
        dimension of the grid (so the actual sample used was $n^2$)
      - The most square factors of times will be used to generate the
        subdivided grid

                 Changes in version 0.1.0 (2025-07-31)                  

Initial CRAN submission.

New features

Functions

  - geom_sf_sample(): Visualise an sf object with random variable for
    fill

Data sets

  - toy_temp: A toy data set that has the ambient temperature as
    measured by a hypothetical citizen scientists in Iowa
  - toy_temp_dist: A toy data set of Iowa with an example average
    temperature for each county