High-Performance Open-Source Archive
split_plot() is now powered by the ggplot2 faceting
functions ggplot2::facet_wrap() and
ggplot2::facet_grid(), thereby replacing
patchwork::wrap_plots(). While this improves consistency
and solves glitches in figure legends, it will eventually break code
that relies on patchwork syntax (#95, #141).add_violin(), trim = TRUE is now the
default. This improves accuracy when plotting small sample sizes and
aligns the behavior with ggplot2::geom_violin()
(#151).add_test_pvalue() (#142).split_plot() gains the parameters rows and
cols allowing to split the plot by two variables. This
functionality is powered by ggplot2::facet_grid().split_plot() gains the parameter
axis.titles allowing to draw a "single" axis
title, "all" axis titles, or just those on the layout
"margins".adjust_size() gains the parameters
overall_width and overall_height to set the
dimensions of the entire multiplot layout generated with
split_plot(). In contrast, the existing width
and height parameters determine the size of each individual
plot within the layout.tidyplot() gains the parameters paper and
ink allowing to choose a color for the background
(paper) and the foreground elements like text and lines
(ink). This allows for global color customization, such as
enabling dark-mode plots.tidyplots_options() gains the parameters
paper and ink allowing to set these parameters
once for all tidyplots in the active R session.labels parameter of adjust_*_axis()
now survives repeated calls changing the same scale (#136).add_data_points() does now respect constant
color when white_border = TRUE (#115).%+% and
geom_label(label.size = NA).widths and heights
from split_plot(). Use adjust_size() before
split_plot() instead.format_number(), which is
available from the scales packages._levels() instead of _lables(). For example,
rename_x_axis_levels() (#113).paired_by in
add_test_pvalue() and add_test_asterisks()
enables paired comparisons.comparisons in
add_test_pvalue() and add_test_asterisks()
enables selected comparisons (#82).my_style in tidyplot() for
providing a styling function (#85).tidyplots_options() affecting all
tidyplots in the current session. Supported options include
width, height, unit,
dodge_width, and my_style (#84, #85).add_annotation_text() now supports colored text
(#86).limits when the axis is of type
date, time, or datetime (#97,
#99).add_data_points_jitter(),
add_data_labels() and add_data_labels_repel()
now facilitates the alignment of jittered labels and points (#104).add_histogram() now respects the
color parameter (#106).pca containing a principle component
analysis.add_ellipse() function (#52).This is a patch release mainly focusing on preparing tidyplots for the upcoming release of ggplot2 3.6.0.
as_tidyplot(). Converting a ggplot
to a tidyplot probably never was a good idea.%>% to the base R pipe
|> in both the documentation and code (#55, #56)energy dataset has been updated to contain the
correct energy values in TWh. The variable power has been
renamed to energy. This change will affect all code that
uses the energy dataset.limits parameter of adjust_x_axis()
and adjust_y_axis() had no effect when combined with
add_count_*() (#41).colors_discrete_rainbow (@electrolars,
#35).save_plot() gains view_plot argument to
control whether to view the plot on screen after saving (#40).add_annotation_text(),
add_annotation_rectangle(),
add_annotation_segment() for including annotation at
specific coordinates (#38).add_sd_errorbar() and
add_sd_ribbon() is now shown as one time SD, not 2 times SD
as before. Thanks to @awata25 for spotting this (#25).dodge_width is now determined by a
heuristic (#13).theme_minimal_*() now have axis
ticks.colors_discrete_alger suggested by
@loukesio
(#18).adjust_theme_details() (#23)fontsize, family,
face, and color in
adjust_title(), adjust_caption(),
adjust_x_axis_title(), adjust_y_axis_title(),
and adjust_legend_title() for more detailed control over
fonts (#24).tidycolor for color schemes. The print
method of tidycolor sends a html preview of the color
scheme to the RStudio viewer panel.new_color_scheme() to create custom color
schemes.colors_discrete_, colors_continuous_ and
colors_diverging_.adjust_colors() now also works with too few or too many
provided colors.adjust_x_axis() and
adjust_y_axis()
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