Changelog

Source: NEWS.md

ggstats (development version)

Breaking changes

• stat_prop(): arguments height, labels and labeller have been removed (#73)
• geom_diverging(), geom_likert(), geom_pyramid(), geom_diverging_text(), geom_likert_text(), and geom_pyramid_text() have been redesigned (#73)

Improvements

• New shortcut auto_contrast (#75)

Other changes

• Requiring only R minimum version 4.1.0 (#72)

ggstats 0.7.0

CRAN release: 2024-09-22

Minor breaking change

• position_likert_count() has been renamed as position_diverging() (#69)
• R minimum version 4.2.0 is now required.

Improvements

• new experimental plot: ggcascade() for “cascade” plots (#71)

• new scale scale_fill_likert() (#64)

• new geometries: geom_prop_bar() and geom_prop_text() (#69)

• new geometries: geom_diverging(), geom_likert(), geom_pyramid() and geom_diverging_text(), geom_likert_text(), geom_pyramid_text() (#69)

• new helper symmetric_limits() to make a scale symmetric (#66)

• new helper pal_extender() and corresponding scale_fill_extender() and scale_colour_extender()

• new helper weighted.sum() for weighted sums (#71)

• new sorting option "prop_lower" for gglikert() (#62)

• new argument symmetric for gglikert() (#66)

• new arguments default_by, height, labels and labeller for stat_prop() (#69)

• new returned statistics for stat_prop(): after_stat(denominator), after_stat(height) and after_stat(labels)

ggstats 0.6.0

CRAN release: 2024-04-05

Improvements

• new function hex_bw() to identify a suitable font color given a background color (#57)
• new default value "auto" for labels_color argument in gglikert() and gglikert_stacked() (using hex_bw()) (#57)
• new argument data_fun for gglikert(), gglikert_data() and gglikert_stacked() (#60)

ggstats 0.5.1

CRAN release: 2023-11-21

Bug fixes

• fix in ggcoef_model() and other similar functions: Unicode character removed in significance labels (#49)

ggstats 0.5.0

CRAN release: 2023-09-28

Improvements

• new options labels_color and totals_color in gglikert() and gglikert_stacked() (#43)

Bug fixes

• fix in ggcoef_multicomponents() when type = "table" and exponentiate = TRUE
• fix in gglikert(): the function could be called directly with ggstats::gglikert() without requiring the full package to be loaded (#47)

ggstats 0.4.0

CRAN release: 2023-08-13

New features

• new function ggcoef_table() displaying a coefficient table at the right of the forest plot (#32)
• new function ggcoef_multicomponents() for multi-components models such as zero-inflated Poisson or beta regressions (#38)
• new type "table" for ggcoef_multinom()

Improvements

• gglikert() now aligns total proportions when faceting (#28)
• new weights argument for gglikert(), gglikert_stacked() and gglikert_data() (#29)
• new y argument for gglikert() and gglikert_stacked() (#31)
• new facet_label_wrap argument for gglikert() (#31)

New helpers

• weighted.median() and weighted.quantile() functions

ggstats 0.3.0

CRAN release: 2023-04-12

New features

• New functions gglikert(), gglikert_stacked() and gglikert_data() (#25)
• New positions position_likert() and position_likert_count() (#25)
• New complete argument for stat_prop() (#25)

Bug fixes

• Bug fix in ggcoef_compare() to preserve the order of model terms and to avoid an error with add_reference_rows = FALSE (#23)

ggstats 0.2.1

CRAN release: 2023-01-12

• Bug fix in geom_stripped_rows() and geom_stripped_cols() (#20)

ggstats 0.2.0

CRAN release: 2023-01-06

• Support for pairwise contrasts (#14)
• New argument tidy_args in ggcoef_*() to pass additional arguments to broom.helpers::tidy_plus_plus() and to tidy_fun (#17)
• Now requires ggplot2 version 3.4.0 or more (#15)
• Following change in geom_rect(), the size aesthetic is now deprecated in geom_stripped_cols() and geom_stripped_rows(): please use the linewidth aesthetic instead (#15)

ggstats 0.1.1

CRAN release: 2022-11-23

• Examples relying on Internet resources have been removed (#11)

ggstats 0.1.0

CRAN release: 2022-10-17

• First version, based on dev version of GGally
• Fix in ggcoef_multinom() to display y levels not listed in y.level_label
• stat_cross() now returns phi coefficients (see also augment_chisq_add_phi()) (#6)