This is a very small release only applying an internal change to
comply with R 4.2 and its deprecation of
default.stringsAsFactors()
. There are no user facing
changes and no breaking changes.
This is a very small release focusing on fixing a couple of untenable issues that surfaced with the 3.3.4 release
geom_abline()
) as it introduced undesirable issues far
worse than the bug it fixed (@thomasp85, #4514)ggsave()
when producing emf/wmf files
(@yutannihilation, #4521)coord_sf()
was reporting that it is
non-linear even when data is provided in projected coordinates (@clauswilke, #4527)This is a larger patch release fixing a huge number of bugs and introduces a small selection of feature refinements.
Alt-text can now be added to a plot using the alt
label, i.e + labs(alt = ...)
. Currently this alt text is
not automatically propagated, but we plan to integrate into Shiny,
RMarkdown, and other tools in the future. (@thomasp85, #4477)
Add support for the BrailleR package for creating descriptions of the plot when rendered (@thomasp85, #4459)
coord_sf()
now has an argument
default_crs
that specifies the coordinate reference system
(CRS) for non-sf layers and scale/coord limits. This argument defaults
to NULL
, which means non-sf layers are assumed to be in
projected coordinates, as in prior ggplot2 versions. Setting
default_crs = sf::st_crs(4326)
provides a simple way to
interpret x and y positions as longitude and latitude, regardless of the
CRS used by coord_sf()
. Authors of extension packages
implementing stat_sf()
-like functionality are encouraged to
look at the source code of stat_sf()
’s
compute_group()
function to see how to provide scale-limit
hints to coord_sf()
(@clauswilke, #3659).
ggsave()
now uses ragg to render raster output if
ragg is available. It also handles custom devices that sets a default
unit (e.g. ragg::agg_png
) correctly (@thomasp85, #4388)
ggsave()
now returns the saved file location
invisibly (#3379, @eliocamp). Note that, as a side effect, an
unofficial hack <ggplot object> + ggsave()
no longer
works (#4513).
The scale arguments limits
, breaks
,
minor_breaks
, labels
, rescaler
and oob
now accept purrr style lambda notation (@teunbrand, #4427). The
same is true for as_labeller()
(and therefore also
labeller()
) (@netique, #4188).
Manual scales now allow named vectors passed to
values
to contain fewer elements than existing in the data.
Elements not present in values will be set to NA
(@thomasp85,
#3451)
Date and datetime position scales support out-of-bounds (oob) arguments to control how limits affect data outside those limits (@teunbrand, #4199).
Fix a bug that after_stat()
and
after_scale()
cannot refer to aesthetics if it’s specified
in the plot-global mapping (@yutannihilation, #4260).
Fix bug in annotate_logticks()
that would cause an
error when used together with coord_flip()
(@thomasp85,
#3954)
Fix a bug in geom_abline()
that resulted in
intercept
not being subjected to the transformation of the
y scale (@thomasp85, #3741)
Extent the range of the line created by
geom_abline()
so that line ending is not visible for large
linewidths (@thomasp85, #4024)
Fix bug in geom_dotplot()
where dots would be
positioned wrong with stackgroups = TRUE
(@thomasp85,
#1745)
Fix calculation of confidence interval for locfit smoothing in
geom_smooth()
(@topepo, #3806)
Fix bug in geom_text()
where "outward"
and "inward"
justification for some angle
values was reversed (@aphalo, #4169, #4447)
ggsave()
now sets the default background to match
the fill value of the plot.background
theme element (@karawoo, #4057)
It is now deprecated to specify
guides(<scale> = FALSE)
or
scale_*(guide = FALSE)
to remove a guide. Please use
guides(<scale> = "none")
or
scale_*(guide = "none")
instead (@yutannihilation, #4094).
Fix a bug in guide_bins()
where keys would disappear
if the guide was reversed (@thomasp85, #4210)
Fix bug in guide_coloursteps()
that would repeat the
terminal bins if the breaks coincided with the limits of the scale
(@thomasp85,
#4019)
Make sure that default labels from default mappings doesn’t overwrite default labels from explicit mappings (@thomasp85, #2406)
Fix bug in labeller()
where parsing was turned off
if .multiline = FALSE
(@thomasp85, #4084)
Make sure label_bquote()
has access to the calling
environment when evaluating the labels (@thomasp85, #4141)
Fix a bug in the layer implementation that introduced a new state after the first render which could lead to a different look when rendered the second time (@thomasp85, #4204)
Fix a bug in legend justification where justification was lost of the legend dimensions exceeded the available size (@thomasp85, #3635)
Fix a bug in position_dodge2()
where NA
values in thee data would cause an error (@thomasp85, #2905)
Make sure position_jitter()
creates the same
jittering independent of whether it is called by name or with
constructor (@thomasp85, #2507)
Fix a bug in position_jitter()
where different
jitters would be applied to different position aesthetics of the same
axis (@thomasp85,
#2941)
Fix a bug in qplot()
when supplying
c(NA, NA)
as axis limits (@thomasp85, #4027)
Remove cross-inheritance of default discrete colour/fill scales
and check the type and aesthetic of function output if type
is a function (@thomasp85, #4149)
Fix bug in scale_[x|y]_date()
where custom breaks
functions that resulted in fracional dates would get misaligned (@thomasp85,
#3965)
Fix bug in scale_[x|y]_datetime()
where a specified
timezone would be ignored by the scale (@thomasp85, #4007)
Fix issue in sec_axis()
that would throw warnings in
the absence of any secondary breaks (@thomasp85, #4368)
stat_bin()
’s computed variable width
is
now documented (#3522).
stat_count()
now computes width based on the full
dataset instead of per group (@thomasp85, #2047)
Extended stat_ecdf()
to calculate the cdf from
either x or y instead from y only (@jgjl, #4005)
Fix a bug in stat_summary_bin()
where one more than
the requested number of bins would be created (@thomasp85, #3824)
Only drop groups in stat_ydensity()
when there are
fewer than two data points and throw a warning (@andrewwbutler, #4111).
Fixed a bug in strip assembly when theme has
strip.text = element_blank()
and plots are faceted with
multi-layered strips (@teunbrand, #4384).
Using theme(aspect.ratio = ...)
together with free
space in facet_grid()
now crrectly throws an error (@thomasp85,
#3834)
Fixed a bug in labeller()
so that
.default
is passed to as_labeller()
when
labellers are specified by naming faceting variables. (@waltersom,
#4031)
Updated style for example code (@rjake, #4092)
ggplot2 now requires R >= 3.3 (#4247).
ggplot2 now uses rlang::check_installed()
to check
if a suggested package is installed, which will offer to install the
package before continuing (#4375,
Improved error with hint when piping a ggplot
object
into a facet function (#4379, @mitchelloharawild).
This is a small patch release mainly intended to address changes in R and CRAN. It further changes the licensing model of ggplot2 to an MIT license.
Update the ggplot2 licence to an MIT license (#4231, #4232, #4233, and #4281)
Use vdiffr conditionally so ggplot2 can be tested on systems without vdiffr
Update tests to work with the new all.equal()
defaults in R >4.0.3
Fixed a bug that guide_bins()
mistakenly ignore
override.aes
argument (@yutannihilation, #4085).
This is a small release focusing on fixing regressions introduced in 3.3.1.
Added an outside
option to
annotation_logticks()
that places tick marks outside of the
plot bounds. (#3783, @kbodwin)
annotation_raster()
adds support for native rasters.
For large rasters, native rasters render significantly faster than
arrays (@kent37,
#3388)
Facet strips now have dedicated position-dependent theme elements
(strip.text.x.top
, strip.text.x.bottom
,
strip.text.y.left
, strip.text.y.right
) that
inherit from strip.text.x
and strip.text.y
,
respectively. As a consequence, some theme stylings now need to be
applied to the position-dependent elements rather than to the parent
elements. This change was already introduced in ggplot2 3.3.0 but not
listed in the changelog. (@thomasp85, #3683)
Facets now handle layers containing no data (@yutannihilation, #3853).
A newly added geom geom_density_2d_filled()
and
associated stat stat_density_2d_filled()
can draw filled
density contours (@clauswilke, #3846).
A newly added geom_function()
is now recommended to
use in conjunction with/instead of stat_function()
. In
addition, stat_function()
now works with transformed y
axes, e.g. scale_y_log10()
, and in plots containing no
other data or layers (@clauswilke, #3611, #3905,
#3983).
Fixed a bug in geom_sf()
that caused problems with
legend-type autodetection (@clauswilke, #3963).
Support graphics devices that use the file
argument
instead of fileneame
in ggsave()
(@bwiernik, #3810)
Default discrete color scales are now configurable through the
options()
of ggplot2.discrete.colour
and
ggplot2.discrete.fill
. When set to a character vector of
colour codes (or list of character vectors) with sufficient length,
these colours are used for the default scale. See
help(scale_colour_discrete)
for more details and examples
(@cpsievert,
#3833).
Default continuous colour scales (i.e., the
options()
ggplot2.continuous.colour
and
ggplot2.continuous.fill
, which inform the type
argument of scale_fill_continuous()
and
scale_colour_continuous()
) now accept a function, which
allows more control over these default continuous_scale()
s
(@cpsievert,
#3827).
A bug was fixed in stat_contour()
when calculating
breaks based on the bins
argument (@clauswilke, #3879, #4004).
Data columns can now contain Vector
S4 objects,
which are widely used in the Bioconductor project. (@teunbrand,
#3837)
This is a small release with no code change. It removes all malicious links to a site that got hijacked from the readme and pkgdown site.
This is a minor release but does contain a range of substantial new features, along with the standard bug fixes. The release contains a few visual breaking changes, along with breaking changes for extension developers due to a shift in internal representation of the position scales and their axes. No user breaking changes are included.
This release also adds Dewey Dunnington (@paleolimbot) to the core team.
There are no user-facing breaking changes, but a change in some internal representations that extension developers may have relied on, along with a few breaking visual changes which may cause visual tests in downstream packages to fail.
The panel_params
field in the Layout
now contains a list of list of ViewScale
objects,
describing the trained coordinate system scales, instead of the list
object used before. Any extensions that use this field will likely
break, as will unit tests that checks aspects of this.
element_text()
now issues a warning when vectorized
arguments are provided, as in
colour = c("red", "green", "blue")
. Such use is discouraged
and not officially supported (@clauswilke, #3492).
Changed theme_grey()
setting for legend key so that
it creates no border (NA
) rather than drawing a white one.
(@annennenne,
#3180)
geom_ribbon()
now draws separate lines for the upper
and lower intervals if colour
is mapped. Similarly,
geom_area()
and geom_density()
now draw the
upper lines only in the same case by default. If you want old-style full
stroking, use outline.type = "full"
(@yutannihilation, #3503 / @thomasp85,
#3708).
The evaluation time of aesthetics can now be controlled to a
finer degree. after_stat()
supersedes the use of
stat()
and ..var..
-notation, and is joined by
after_scale()
to allow for mapping to scaled aesthetic
values. Remapping of the same aesthetic is now supported with
stage()
, so you can map a data variable to a stat
aesthetic, and remap the same aesthetic to something else after
statistical transformation (@thomasp85, #3534)
All coord_*()
functions with xlim
and
ylim
arguments now accept vectors with NA
as a
placeholder for the minimum or maximum value (e.g.,
ylim = c(0, NA)
would zoom the y-axis from 0 to the maximum
value observed in the data). This mimics the behaviour of the
limits
argument in continuous scale functions (@paleolimbot,
#2907).
Allowed reversing of discrete scales by re-writing
get_limits()
(@AnneLyng, #3115)
All geoms and stats that had a direction (i.e. where the x and y
axes had different interpretation), can now freely choose their
direction, instead of relying on coord_flip()
. The
direction is deduced from the aesthetic mapping, but can also be
specified directly with the new orientation
argument (@thomasp85,
#3506).
Position guides can now be customized using the new
guide_axis()
, which can be passed to position
scale_*()
functions or via guides()
. The new
axis guide (guide_axis()
) comes with arguments
check.overlap
(automatic removal of overlapping labels),
angle
(easy rotation of axis labels), and
n.dodge
(dodge labels into multiple rows/columns) (@paleolimbot,
#3322).
A new scale type has been added, that allows binning of
aesthetics at the scale level. It has versions for both position and
non-position aesthetics and comes with two new guides
(guide_bins
and guide_coloursteps
) (@thomasp85,
#3096)
scale_x_continuous()
and
scale_y_continuous()
gains an n.breaks
argument guiding the number of automatic generated breaks (@thomasp85,
#3102)
Added stat_contour_filled()
and
geom_contour_filled()
, which compute and draw filled
contours of gridded data (@paleolimbot, #3044).
geom_contour()
and stat_contour()
now use the
isoband package to compute contour lines. The complete
parameter (which was undocumented and has been unused for at least four
years) was removed (@paleolimbot, #3044).
Themes have gained two new parameters,
plot.title.position
and plot.caption.position
,
that can be used to customize how plot title/subtitle and plot caption
are positioned relative to the overall plot (@clauswilke, #3252).
Geom
now gains a setup_params()
method
in line with the other ggproto classes (@thomasp85, #3509)
The newly added function register_theme_elements()
now allows developers of extension packages to define their own new
theme elements and place them into the ggplot2 element tree (@clauswilke,
#2540).
coord_trans()
now draws second axes and accepts
xlim
, ylim
, and expand
arguments
to bring it up to feature parity with coord_cartesian()
.
The xtrans
and ytrans
arguments that were
deprecated in version 1.0.1 in favour of x
and
y
were removed (@paleolimbot, #2990).
coord_trans()
now calculates breaks using the
expanded range (previously these were calculated using the unexpanded
range, which resulted in differences between plots made with
coord_trans()
and those made with
coord_cartesian()
). The expansion for discrete axes in
coord_trans()
was also updated such that it behaves
identically to that in coord_cartesian()
(@paleolimbot,
#3338).
expand_scale()
was deprecated in favour of
expansion()
for setting the expand
argument of
x
and y
scales (@paleolimbot).
geom_abline()
, geom_hline()
, and
geom_vline()
now issue more informative warnings when
supplied with set aesthetics (i.e., slope
,
intercept
, yintercept
, and/or
xintercept
) and mapped aesthetics (i.e., data
and/or mapping
).
Fix a bug in geom_raster()
that squeezed the image
when it went outside scale limits (#3539, @thomasp85)
geom_sf()
now determines the legend type
automatically (@microly, #3646).
geom_sf()
now removes rows that can’t be plotted due
to NA
aesthetics (#3546, @thomasp85)
geom_sf()
now applies alpha to linestring geometries
(#3589, @yutannihilation).
gg_dep()
was deprecated (@perezp44, #3382).
Added function ggplot_add.by()
for lists created
with by()
, allowing such lists to be added to ggplot
objects (#2734, @Maschette)
ggplot2 no longer depends on reshape2, which means that it no longer (recursively) needs plyr, stringr, or stringi packages.
Increase the default nbin
of
guide_colourbar()
to place the ticks more precisely (#3508,
@yutannihilation).
manual_scale()
now matches values
with
the order of breaks
whenever values
is an
unnamed vector. Previously, unnamed values
would match with
the limits of the scale and ignore the order of any breaks
provided. Note that this may change the appearance of plots that
previously relied on the unordered behaviour (#2429, @idno0001).
scale_manual_*(limits = ...)
now actually limits the
scale (#3262, @yutannihilation).
Fix a bug when show.legend
is a named logical vector
(#3461, @yutannihilation).
Added weight aesthetic option to stat_density()
and
made scaling of weights the default (@annennenne, #2902)
stat_density2d()
can now take an adjust
parameter to scale the default bandwidth. (#2860, @haleyjeppson)
stat_smooth()
uses REML
by default, if
method = "gam"
and gam
’s method is not
specified (@ikosmidis, #2630).
stacking text when calculating the labels and the y axis with
stat_summary()
now works (@ikosmidis, #2709)
stat_summary()
and related functions now support
rlang-style lambda functions (#3568, @dkahle).
The data mask pronoun, .data
, is now stripped from
default labels.
Addition of partial themes to plots has been made more predictable; stepwise addition of individual partial themes is now equivalent to addition of multple theme elements at once (@clauswilke, #3039).
Facets now don’t fail even when some variable in the spec are not available in all layers (@yutannihilation, #2963).
This is a patch release fixing a few regressions introduced in 3.2.0 as well as fixing some unit tests that broke due to upstream changes.
position_stack()
no longer changes the order of the
input data. Changes to the internal behaviour of
geom_ribbon()
made this reordering problematic with ribbons
that spanned y = 0
(#3471)qplot()
with a single positional aesthetic will
no longer title the non-specified scale as "NULL"
(#3473)This is a minor release with an emphasis on internal changes to make ggplot2 faster and more consistent. The few interface changes will only affect the aesthetics of the plot in minor ways, and will only potentially break code of extension developers if they have relied on internals that have been changed. This release also sees the addition of Hiroaki Yutani (@yutannihilation) to the core developer team.
With the release of R 3.6, ggplot2 now requires the R version to be at least 3.2, as the tidyverse is committed to support 5 major versions of R.
Two patches (#2996 and #3050) fixed minor rendering problems. In most cases, the visual changes are so subtle that they are difficult to see with the naked eye. However, these changes are detected by the vdiffr package, and therefore any package developers who use vdiffr to test for visual correctness of ggplot2 plots will have to regenerate all reference images.
In some cases, ggplot2 now produces a warning or an error for
code that previously produced plot output. In all these cases, the
previous plot output was accidental, and the plotting code uses the
ggplot2 API in a way that would lead to undefined behavior. Examples
include a missing group
aesthetic in
geom_boxplot()
(#3316), annotations across multiple facets
(#3305), and not using aesthetic mappings when drawing ribbons with
geom_ribbon()
(#3318).
This release includes a range of internal changes that speeds up plot generation. None of the changes are user facing and will not break any code, but in general ggplot2 should feel much faster. The changes includes, but are not limited to:
Caching ascent and descent dimensions of text to avoid recalculating it for every title.
Using a faster data.frame constructor as well as faster indexing into data.frames
Removing the plyr dependency, replacing plyr functions with faster equivalents.
geom_polygon()
can now draw polygons with holes
using the new subgroup
aesthetic. This functionality
requires R 3.6.0 (@thomasp85, #3128)
Aesthetic mappings now accept functions that return
NULL
(@yutannihilation, #2997).
stat_function()
now accepts rlang/purrr style
anonymous functions for the fun
parameter (@dkahle, #3159).
geom_rug()
gains an “outside” option to allow for
moving the rug tassels to outside the plot area (@njtierney, #3085) and a
length
option to allow for changing the length of the rug
lines (@daniel-wells, #3109).
All geoms now take a key_glyph
paramter that allows
users to customize how legend keys are drawn (@clauswilke, #3145). In addition, a new
key glyph timeseries
is provided to draw nice legends for
time series (@mitchelloharawild,
#3145).
Layers now have a new member function setup_layer()
which is called at the very beginning of the plot building process and
which has access to the original input data and the plot object being
built. This function allows the creation of custom layers that
autogenerate aesthetic mappings based on the input data or that filter
the input data in some form. For the time being, this feature is not
exported, but it has enabled the development of a new layer type,
layer_sf()
(see next item). Other special-purpose layer
types may be added in the future (@clauswilke, #2872).
A new layer type layer_sf()
can auto-detect and
auto-map sf geometry columns in the data. It should be used by extension
developers who are writing new sf-based geoms or stats (@clauswilke,
#3232).
x0
and y0
are now recognized positional
aesthetics so they will get scaled if used in extension geoms and stats
(@thomasp85,
#3168)
Continuous scale limits now accept functions which accept the default limits and return adjusted limits. This makes it possible to write a function that e.g. ensures the limits are always a multiple of 100, regardless of the data (@econandrew, #2307).
cut_width()
now accepts ...
to pass
further arguments to base::cut.default()
like
cut_number()
and cut_interval()
already did
(@cderv,
#3055)
coord_map()
now can have axes on the top and right
(@karawoo,
#3042).
coord_polar()
now correctly rescales the secondary
axis (@linzi-sg,
#3278)
coord_sf()
, coord_map()
, and
coord_polar()
now squash -Inf
and
Inf
into the min and max of the plot (@yutannihilation,
#2972).
coord_sf()
graticule lines are now drawn in the same
thickness as panel grid lines in coord_cartesian()
, and
seting panel grid lines to element_blank()
now also works
in coord_sf()
(@clauswilke, #2991, #2525).
economics
data has been regenerated. This leads to
some changes in the values of all columns (especially in
psavert
), but more importantly, strips the grouping
attributes from economics_long
.
element_line()
now fills closed arrows (@yutannihilation,
#2924).
Facet strips on the left side of plots now have clipping turned on, preventing text from running out of the strip and borders from looking thicker than for other strips (@karawoo, #2772 and #3061).
ggplot2 now works in Turkish locale (@yutannihilation, #3011).
Clearer error messages for inappropriate aesthetics (@clairemcwhite, #3060).
ggplot2 no longer attaches any external packages when using
functions that depend on packages that are suggested but not imported by
ggplot2. The affected functions include geom_hex()
,
stat_binhex()
, stat_summary_hex()
,
geom_quantile()
, stat_quantile()
, and
map_data()
(@clauswilke, #3126).
geom_area()
and geom_ribbon()
now sort
the data along the x-axis in the setup_data()
method rather
than as part of draw_group()
(@thomasp85, #3023)
geom_hline()
, geom_vline()
, and
geom_abline()
now throw a warning if the user supplies both
an xintercept
, yintercept
, or
slope
value and a mapping (@RichardJActon, #2950).
geom_rug()
now works with coord_flip()
(@has2k1,
#2987).
geom_violin()
no longer throws an error when
quantile lines fall outside the violin polygon (@thomasp85, #3254).
guide_legend()
and guide_colorbar()
now
use appropriate spacing between legend key glyphs and legend text even
if the legend title is missing (@clauswilke, #2943).
Default labels are now generated more consistently; e.g., symbols
no longer get backticks, and long expressions are abbreviated with
...
(@yutannihilation, #2981).
All-Inf
layers are now ignored for picking the scale
(@yutannihilation, #3184).
Diverging Brewer colour palette now use the correct mid-point colour (@dariyasydykova, #3072).
scale_color_continuous()
now points to
scale_colour_continuous()
so that it will handle
type = "viridis"
as the documentation states (@hlendway,
#3079).
scale_shape_identity()
now works correctly with
guide = "legend"
(1, #3029)
scale_continuous
will now draw axis line even if the
length of breaks is 0 (@thomasp85, #3257)
stat_bin()
will now error when the number of bins
exceeds 1e6 to avoid accidentally freezing the user session (@thomasp85).
sec_axis()
now places ticks accurately when using
nonlinear transformations (@dpseidel, #2978).
facet_wrap()
and facet_grid()
now
automatically remove NULL from facet specs, and accept empty specs
(@yutannihilation, #3070,
#2986).
stat_bin()
now handles data with only one unique
value (@yutannihilation #3047).
sec_axis()
now accepts functions as well as formulas
(@yutannihilation, #3031).
New theme elements allowing different ticks lengths for each
axis. For instance, this can be used to have inwards ticks on the x-axis
(axis.ticks.length.x
) and outwards ticks on the y-axis
(axis.ticks.length.y
) (@pank, #2935).
The arguments of Stat*$compute_layer()
and
Position*$compute_layer()
are now renamed to always match
the ones of Stat$compute_layer()
and
Position$compute_layer()
(@yutannihilation, #3202).
geom_*()
and stat_*()
now accepts
purrr-style lambda notation (@yutannihilation, #3138).
geom_tile()
and geom_rect()
now draw
rectangles without notches at the corners. The style of the corner can
be controlled by linejoin
parameters (@yutannihilation,
#3050).
This is a minor release and breaking changes have been kept to a minimum. End users of ggplot2 are unlikely to encounter any issues. However, there are a few items that developers of ggplot2 extensions should be aware of. For additional details, see also the discussion accompanying issue #2890.
In non-user-facing internal code (specifically in the
aes()
function and in the aesthetics
argument
of scale functions), ggplot2 now always uses the British spelling for
aesthetics containing the word “colour”. When users specify a “color”
aesthetic it is automatically renamed to “colour”. This renaming is also
applied to non-standard aesthetics that contain the word “color”. For
example, “point_color” is renamed to “point_colour”. This convention
makes it easier to support both British and American spelling for novel,
non-standard aesthetics, but it may require some adjustment for packages
that have previously introduced non-standard color aesthetics using
American spelling. A new function standardise_aes_names()
is provided in case extension writers need to perform this renaming in
their own code (@clauswilke, #2649).
Functions that generate other functions (closures) now force the
arguments that are used from the generated functions, to avoid
hard-to-catch errors. This may affect some users of manual scales (such
as scale_colour_manual()
, scale_fill_manual()
,
etc.) who depend on incorrect behavior (@krlmlr, #2807).
Coord
objects now have a function
backtransform_range()
that returns the panel range in data
coordinates. This change may affect developers of custom coords, who now
should implement this function. It may also affect developers of custom
geoms that use the range()
function. In some applications,
backtransform_range()
may be more appropriate (@clauswilke,
#2821).
coord_sf()
has much improved customization of axis
tick labels. Labels can now be set manually, and there are two new
parameters, label_graticule
and label_axes
,
that can be used to specify which graticules to label on which side of
the plot (@clauswilke, #2846, #2857,
#2881).
Two new geoms geom_sf_label()
and
geom_sf_text()
can draw labels and text on sf objects.
Under the hood, a new stat_sf_coordinates()
calculates the
x and y coordinates from the coordinates of the sf geometries. You can
customize the calculation method via fun.geometry
argument
(@yutannihilation, #2761).
benchplot()
now uses tidy evaluation (@dpseidel,
#2699).
The error message in compute_aesthetics()
now only
provides the names of aesthetics with mismatched lengths, rather than
all aesthetics (@karawoo, #2853).
For faceted plots, data is no longer internally reordered. This
makes it safer to feed data columns into aes()
or into
parameters of geoms or stats. However, doing so remains discouraged
(@clauswilke,
#2694).
coord_sf()
now also understands the
clip
argument, just like the other coords (@clauswilke,
#2938).
fortify()
now displays a more informative error
message for grouped_df()
objects when dplyr is not
installed (@jimhester, #2822).
All geom_*()
now display an informative error
message when required aesthetics are missing (@dpseidel, #2637 and #2706).
geom_boxplot()
now understands the
width
parameter even when used with a non-standard stat,
such as stat_identity()
(@clauswilke, #2893).
geom_hex()
now understands the size
and
linetype
aesthetics (@mikmart, #2488).
geom_hline()
, geom_vline()
, and
geom_abline()
now work properly with
coord_trans()
(@clauswilke, #2149, #2812).
geom_text(..., parse = TRUE)
now correctly renders
the expected number of items instead of silently dropping items that are
empty expressions, e.g. the empty string ““. If an expression spans
multiple lines, we take just the first line and drop the rest. This same
issue is also fixed for geom_label()
and the axis labels
for geom_sf()
(@slowkow, #2867).
geom_sf()
now respects lineend
,
linejoin
, and linemitre
parameters for lines
and polygons (@alistaire47, #2826).
ggsave()
now exits without creating a new graphics
device if previously none was open (@clauswilke, #2363).
labs()
now has named arguments title
,
subtitle
, caption
, and tag
. Also,
labs()
now accepts tidyeval (@yutannihilation, #2669).
position_nudge()
is now more robust and nudges only
in the direction requested. This enables, for example, the horizontal
nudging of boxplots (@clauswilke, #2733).
sec_axis()
and dup_axis()
now return
appropriate breaks for the secondary axis when applied to log
transformed scales (@dpseidel, #2729).
sec_axis()
now works as expected when used in
combination with tidy eval (@dpseidel, #2788).
scale_*_date()
, scale_*_time()
and
scale_*_datetime()
can now display a secondary axis that is
a one-to-one transformation of the primary axis,
implemented using the sec.axis
argument to the scale
constructor (@dpseidel, #2244).
stat_contour()
, stat_density2d()
,
stat_bin2d()
, stat_binhex()
now calculate
normalized statistics including nlevel
,
ndensity
, and ncount
. Also,
stat_density()
now includes the calculated statistic
nlevel
, an alias for scaled
, to better match
the syntax of stat_bin()
(@bjreisman, #2679).
ggplot2 now supports/uses tidy evaluation (as described below). This is a major change and breaks a number of packages; we made this breaking change because it is important to make ggplot2 more programmable, and to be more consistent with the rest of the tidyverse. The best general (and detailed) introduction to tidy evaluation can be found in the meta programming chapters in Advanced R.
The primary developer facing change is that aes()
now
contains quosures (expression + environment pairs) rather than symbols,
and you’ll need to take a different approach to extracting the
information you need. A common symptom of this change are errors
“undefined columns selected” or “invalid ‘type’ (list) of argument”
(#2610). As in the previous version, constants (like
aes(x = 1)
or aes(colour = "smoothed")
) are
stored as is.
In this version of ggplot2, if you need to describe a mapping in a
string, use quo_name()
(to generate single-line strings;
longer expressions may be abbreviated) or quo_text()
(to
generate non-abbreviated strings that may span multiple lines). If you
do need to extract the value of a variable instead use
rlang::eval_tidy()
. You may want to condition on
(packageVersion("ggplot2") <= "2.2.1")
so that your code
can work with both released and development versions of ggplot2.
We recognise that this is a big change and if you’re not already familiar with rlang, there’s a lot to learn. If you are stuck, or need any help, please reach out on https://community.rstudio.com.
Error: Column y
must be a 1d atomic vector or a
list
Internally, ggplot2 now uses
as.data.frame(tibble::as_tibble(x))
to convert a list into
a data frame. This improves ggplot2’s support for list-columns (needed
for sf support), at a small cost: you can no longer use matrix-columns.
Note that unlike tibble we still allow column vectors such as returned
by base::scale()
because of their widespread use.
Error: More than one expression parsed
Previously aes_string(x = c("a", "b", "c"))
silently
returned aes(x = a)
. Now this is a clear error.
Error: data
must be uniquely named but has duplicate
columns
If layer data contains columns with identical names an error will be thrown. In earlier versions the first occuring column was chosen silently, potentially masking that the wrong data was chosen.
Error: Aesthetics must be either length 1 or the same as the data
Layers are stricter about the columns they will combine into a single data frame. Each aesthetic now must be either the same length as the data frame or a single value. This makes silent recycling errors much less likely.
Error: coord_*
doesn’t support free scales
Free scales only work with selected coordinate systems; previously you’d get an incorrect plot.
Error in f(…) : unused argument (range = c(0, 1))
This is because the oob
argument to scale has been set
to a function that only takes a single argument; it needs to take two
arguments (x
, and range
).
Error: unused argument (output)
The function guide_train()
now has an optional parameter
aesthetic
that allows you to override the
aesthetic
setting in the scale. To make your code work with
the both released and development versions of ggplot2 appropriate, add
aesthetic = NULL
to the guide_train()
method
signature.
# old
<- function(guide, scale) {...}
guide_train.legend
# new
<- function(guide, scale, aesthetic = NULL) {...} guide_train.legend
Then, inside the function, replace scale$aesthetics[1]
,
aesthetic %||% scale$aesthetics[1]
. (The %||% operator is
defined in the rlang package).
# old
setNames(list(scale$map(breaks)), scale$aesthetics[1])
# new
setNames(list(scale$map(breaks)), aesthetic %||% scale$aesthetics[1])
The long-deprecated subset
argument to
layer()
has been removed.
aes()
now supports quasiquotation so that you can
use !!
, !!!
, and :=
. This
replaces aes_()
and aes_string()
which are now
soft-deprecated (but will remain around for a long time).
facet_wrap()
and facet_grid()
now
support vars()
inputs. Like dplyr::vars()
,
this helper quotes its inputs and supports quasiquotation. For instance,
you can now supply faceting variables like this:
facet_wrap(vars(am, cyl))
instead of
facet_wrap(~am + cyl)
. Note that the formula interface is
not going away and will not be deprecated. vars()
is simply
meant to make it easier to create functions around
facet_wrap()
and facet_grid()
.
The first two arguments of facet_grid()
become
rows
and cols
and now support
vars()
inputs. Note however that we took special care to
ensure complete backward compatibility. With this change
facet_grid(vars(cyl), vars(am, vs))
is equivalent to
facet_grid(cyl ~ am + vs)
, and
facet_grid(cols = vars(am, vs))
is equivalent to
facet_grid(. ~ am + vs)
.
One nice aspect of the new interface is that you can now easily
supply names:
facet_grid(vars(Cylinder = cyl), labeller = label_both)
will give nice label titles to the facets. Of course, those names can be
unquoted with the usual tidy eval syntax.
ggplot2 now has full support for sf with geom_sf()
and coord_sf()
:
<- sf::st_read(system.file("shape/nc.shp", package = "sf"), quiet = TRUE)
nc ggplot(nc) +
geom_sf(aes(fill = AREA))
It supports all simple features, automatically aligns CRS across layers, sets up the correct aspect ratio, and draws a graticule.
ggplot2 now works on R 3.1 onwards, and uses the vdiffr package for visual testing.
In most cases, accidentally using %>%
instead of
+
will generate an informative error (#2400).
New syntax for calculated aesthetics. Instead of using
aes(y = ..count..)
you can (and should!) use
aes(y = stat(count))
. stat()
is a real
function with documentation which hopefully will make this part of
ggplot2 less confusing (#2059).
stat()
is particularly nice for more complex
calculations because you only need to specify it once:
aes(y = stat(count / max(count)))
, rather than
aes(y = ..count.. / max(..count..))
New tag
label for adding identification tags to
plots, typically used for labelling a subplot with a letter. Add a tag
with labs(tag = "A")
, style it with the
plot.tag
theme element, and control position with the
plot.tag.position
theme setting (@thomasp85).
geom_segment()
and geom_curve()
have a
new arrow.fill
parameter which allows you to specify a
separate fill colour for closed arrowheads (@hrbrmstr and @clauswilke, #2375).
geom_point()
and friends can now take shapes as
strings instead of integers,
e.g. geom_point(shape = "diamond")
(@daniel-barnett, #2075).
position_dodge()
gains a preserve
argument that allows you to control whether the total
width
at each x
value is preserved (the current default), or
ensure that the width of a single
element is preserved
(what many people want) (#1935).
New position_dodge2()
provides enhanced dodging for
boxplots. Compared to position_dodge()
,
position_dodge2()
compares xmin
and
xmax
values
to determine which elements overlap, and spreads overlapping elements
evenly within the region of overlap. position_dodge2()
is
now the default position adjustment for geom_boxplot()
,
because it handles varwidth = TRUE
, and will be considered
for other geoms in the future.
The padding
parameter adds a small amount of padding
between elements (@karawoo, #2143) and a reverse
parameter allows you to reverse the order of placement (@karawoo, #2171).
New stat_qq_line()
makes it easy to add a simple
line to a Q-Q plot, which makes it easier to judge the fit of the
theoretical distribution (@nicksolomon).
Improved support for mapping date/time variables to
alpha
, size
, colour
, and
fill
aesthetics, including date_breaks
and
date_labels
arguments (@karawoo, #1526), and new
scale_alpha()
variants (@karawoo, #1526).
Improved support for ordered factors. Ordered factors throw a warning when mapped to shape (unordered factors do not), and do not throw warnings when mapped to size or alpha (unordered factors do). Viridis is used as the default colour and fill scale for ordered factors (@karawoo, #1526).
The expand
argument of
scale_*_continuous()
and scale_*_discrete()
now accepts separate expansion values for the lower and upper range
limits. The expansion limits can be specified using the convenience
function expand_scale()
.
Separate expansion limits may be useful for bar charts, e.g. if one wants the bottom of the bars to be flush with the x axis but still leave some (automatically calculated amount of) space above them:
ggplot(mtcars) +
geom_bar(aes(x = factor(cyl))) +
scale_y_continuous(expand = expand_scale(mult = c(0, .1)))
It can also be useful for line charts, e.g. for counts over time, where one wants to have a ’hard’ lower limit of y = 0 but leave the upper limit unspecified (and perhaps differing between panels), with some extra space above the highest point on the line (with symmetrical limits, the extra space above the highest point could in some cases cause the lower limit to be negative).
The old syntax for the expand
argument will, of course,
continue to work (@huftis, #1669).
scale_colour_continuous()
and
scale_colour_gradient()
are now controlled by global
options ggplot2.continuous.colour
and
ggplot2.continuous.fill
. These can be set to
"gradient"
(the default) or "viridis"
(@karawoo).
New
scale_colour_viridis_c()
/scale_fill_viridis_c()
(continuous) and
scale_colour_viridis_d()
/scale_fill_viridis_d()
(discrete) make it easy to use Viridis colour scales (@karawoo, #1526).
Guides for geom_text()
now accept custom labels with
guide_legend(override.aes = list(label = "foo"))
(@brianwdavis,
#2458).
Strips gain margins on all sides by default. This means that to fully justify text to the edge of a strip, you will need to also set the margins to 0 (@karawoo).
Rotated strip labels now correctly understand hjust
and vjust
parameters at all angles (@karawoo).
Strip labels now understand justification relative to the
direction of the text, meaning that in y facets, the strip text can be
placed at either end of the strip using hjust
(@karawoo).
Legend titles and labels get a little extra space around them, which prevents legend titles from overlapping the legend at large font sizes (@karawoo, #1881).
New autolayer()
S3 generic (@mitchelloharawild, #1974). This
is similar to autoplot()
but produces layers rather than
complete plots.
Custom objects can now be added using +
if a
ggplot_add
method has been defined for the class of the
object (@thomasp85).
Theme elements can now be subclassed. Add a
merge_element
method to control how properties are
inherited from the parent element. Add an element_grob
method to define how elements are rendered into grobs (@thomasp85,
#1981).
Coords have gained new extension mechanisms.
If you have an existing coord extension, you will need to revise the
specification of the train()
method. It is now called
setup_panel_params()
(better reflecting what it actually
does) and now has arguments scale_x
, and
scale_y
(the x and y scales respectively) and
param
, a list of plot specific parameters generated by
setup_params()
.
What was formerly called scale_details
(in coords),
panel_ranges
(in layout) and panel_scales
(in
geoms) are now consistently called panel_params
(#1311).
These are parameters of the coord that vary from panel to
panel.
ggplot_build()
and ggplot_gtable()
are
now generics, so ggplot-subclasses can define additional behavior during
the build stage.
guide_train()
, guide_merge()
,
guide_geom()
, and guide_gengrob()
are now
exported as they are needed if you want to design your own guide. They
are not currently documented; use at your own risk (#2528).
scale_type()
generic is now exported and documented.
Use this if you want to extend ggplot2 to work with a new type of
vector.
facet_grid()
gives a more informative error message
if you try to use a variable in both rows and cols (#1928).
facet_grid()
and facet_wrap()
both give
better error messages if you attempt to use an unsupported coord with
free scales (#2049).
label_parsed()
works once again (#2279).
You can now style the background of horizontal and vertical
strips independently with strip.background.x
and
strip.background.y
theme settings (#2249).
discrete_scale()
documentation now inherits shared
definitions from continuous_scale()
(@alistaire47, #2052).
guide_colorbar()
shows all colours of the scale
(@has2k1,
#2343).
scale_identity()
once again produces legends by
default (#2112).
Tick marks for secondary axes with strong transformations are more accurately placed (@thomasp85, #1992).
Missing line types now reliably generate missing lines (with standard warning) (#2206).
Legends now ignore set aesthetics that are not length one (#1932).
All colour and fill scales now have an aesthetics
argument that can be used to set the aesthetic(s) the scale works with.
This makes it possible to apply a colour scale to both colour and fill
aesthetics at the same time, via
aesthetics = c("colour", "fill")
(@clauswilke).
Three new generic scales work with any aesthetic or set of
aesthetics: scale_continuous_identity()
,
scale_discrete_identity()
, and
scale_discrete_manual()
(@clauswilke).
scale_*_gradient2()
now consistently omits points
outside limits by rescaling after the limits are enforced (@foo-bar-baz-qux,
#2230).
geom_label()
now correctly produces unbordered
labels when label.size
is 0, even when saving to PDF (@bfgray3, #2407).
layer()
gives considerably better error messages for
incorrectly specified geom
, stat
, or
position
(#2401).
In all layers that use it, linemitre
now defaults to
10 (instead of 1) to better match base R.
geom_boxplot()
now supplies a default value if no
x
aesthetic is present (@foo-bar-baz-qux, #2110).
geom_density()
drops groups with fewer than two data
points and throws a warning. For groups with two data points, density
values are now calculated with stats::density
(@karawoo, #2127).
geom_segment()
now also takes a
linejoin
parameter. This allows more control over the
appearance of the segments, which is especially useful for plotting
thick arrows (@Ax3man,
#774).
geom_smooth()
now reports the formula used when
method = "auto"
(@davharris #1951).
geom_smooth()
now orders by the x
aesthetic,
making it easier to pass pre-computed values without manual ordering
(@izahn, #2028). It
also now knows it has ymin
and ymax
aesthetics
(#1939). The legend correctly reflects the status of the se
argument when used with stats other than the default (@clauswilke,
#1546).
geom_tile()
now once again interprets
width
and height
correctly (1,
#2510).
position_jitter()
and
position_jitterdodge()
gain a seed
argument
that allows the specification of a random seed for reproducible
jittering (@krlmlr,
#1996 and @slowkow,
#2445).
stat_density()
has better behaviour if all groups
are dropped because they are too small (#2282).
stat_summary_bin()
now understands the
breaks
parameter (@karawoo, #2214).
stat_bin()
now accepts functions for
binwidth
. This allows better binning when faceting along
variables with different ranges (@botanize).
stat_bin()
and geom_histogram()
now sum
correctly when using the weight
aesthetic (@jiho, #1921).
stat_bin()
again uses correct scaling for the
computed variable ndensity
(@timgoodman, #2324).
stat_bin()
and stat_bin_2d()
now
properly handle the breaks
parameter when the scales are
transformed (@has2k1,
#2366).
update_geom_defaults()
and
update_stat_defaults()
allow American spelling of aesthetic
parameters (@foo-bar-baz-qux, #2299).
The show.legend
parameter now accepts a named
logical vector to hide/show only some aesthetics in the legend (@tutuchan,
#1798).
Layers now silently ignore unknown aesthetics with value
NULL
(#1909).
Clipping to the plot panel is now configurable, through a
clip
argument to coordinate systems,
e.g. coord_cartesian(clip = "off")
(@clauswilke, #2536).
Like scales, coordinate systems now give you a message when you’re replacing an existing coordinate system (#2264).
coord_polar()
now draws secondary axis ticks and
labels (@dylan-stark, #2072), and can draw the
radius axis on the right (@thomasp85, #2005).
coord_trans()
now generates a warning when a
transformation generates non-finite values (@foo-bar-baz-qux, #2147).
Complete themes now always override all elements of the default theme (@has2k1, #2058, #2079).
Themes now set default grid colour in panel.grid
rather than individually in panel.grid.major
and
panel.grid.minor
individually. This makes it slightly
easier to customise the theme (#2352).
Fixed bug when setting strips to element_blank()
(@thomasp85).
Axes positioned on the top and to the right can now customize their ticks and lines separately (@thomasp85, #1899).
Built-in themes gain parameters base_line_size
and
base_rect_size
which control the default sizes of line and
rectangle elements (@karawoo, #2176).
Default themes use rel()
to set line widths (@baptiste).
Themes were tweaked for visual consistency and more graceful behavior when changing the base font size. All absolute heights or widths were replaced with heights or widths that are proportional to the base font size. One relative font size was eliminated (@clauswilke).
The height of descenders is now calculated solely on font metrics and doesn’t change with the specific letters in the string. This fixes minor alignment issues with plot titles, subtitles, and legend titles (#2288, @clauswilke).
guide_colorbar()
is more configurable: tick marks
and color bar frame can now by styled with arguments
ticks.colour
, ticks.linewidth
,
frame.colour
, frame.linewidth
, and
frame.linetype
(@clauswilke).
guide_colorbar()
now uses
legend.spacing.x
and legend.spacing.y
correctly, and it can handle multi-line titles. Minor tweaks were made
to guide_legend()
to make sure the two legend functions
behave as similarly as possible (@clauswilke, #2397 and #2398).
The theme elements legend.title
and
legend.text
now respect the settings of
margin
, hjust
, and vjust
(@clauswilke, #2465,
#1502).
Non-angle parameters of label.theme
or
title.theme
can now be set in guide_legend()
and guide_colorbar()
(@clauswilke, #2544).
fortify()
gains a method for tbls (@karawoo, #2218).
ggplot
gains a method for grouped_df
s
that adds a .group
variable, which computes a unique value
for each group. Use it with aes(group = .group)
(#2351).
ggproto()
produces objects with class
c("ggproto", "gg")
, allowing for a more informative error
message when adding layers, scales, or other ggproto objects (@jrnold, #2056).
ggsave()
’s DPI argument now supports 3 string
options: “retina” (320 DPI), “print” (300 DPI), and “screen” (72 DPI)
(@foo-bar-baz-qux, #2156).
ggsave()
now uses full argument names to avoid partial
match warnings (#2355), and correctly restores the previous graphics
device when several graphics devices are open (#2363).
print.ggplot()
now returns the original ggplot
object, instead of the output from ggplot_build()
. Also,
the object returned from ggplot_build()
now has the class
"ggplot_built"
(#2034).
map_data()
now works even when purrr is loaded
(tidyverse#66).
New functions summarise_layout()
,
summarise_coord()
, and summarise_layers()
summarise the layout, coordinate systems, and layers of a built ggplot
object (#2034, @wch).
This provides a tested API that (e.g.) shiny can depend on.
Updated startup messages reflect new resources (#2410, @mine-cetinkaya-rundel).
structure(NULL)
for R-devel compatibility
(#1968).Thanks to @hrbrmstr plots now have subtitles and
captions, which can be set with the subtitle
and
caption
arguments to ggtitle()
and
labs()
. You can control their appearance with the theme
settings plot.caption
and plot.subtitle
. The
main plot title is now left-aligned to better work better with a
subtitle. The caption is right-aligned (@hrbrmstr).
position_stack()
and position_fill()
now
sort the stacking order to match grouping order. This allows you to
control the order through grouping, and ensures that the default legend
matches the plot (#1552, #1593). If you want the opposite order (useful
if you have horizontal bars and horizontal legend), you can request
reverse stacking by using
position = position_stack(reverse = TRUE)
(#1837).
position_stack()
and position_fill()
now
accepts negative values which will create stacks extending below the
x-axis (#1691).
position_stack()
and position_fill()
gain a
vjust
argument which makes it easy to (e.g.) display labels
in the middle of stacked bars (#1821).
geom_col()
was added to complement
geom_bar()
(@hrbrmstr). It uses
stat="identity"
by default, making the y
aesthetic mandatory. It does not support any other stat_()
and does not provide fallback support for the binwidth
parameter. Examples and references in other functions were updated to
demonstrate geom_col()
usage.
When creating a layer, ggplot2 will warn if you use an unknown aesthetic or an unknown parameter. Compared to the previous version, this is stricter for aesthetics (previously there was no message), and less strict for parameters (previously this threw an error) (#1585).
The facet system, as well as the internal panel class, has been
rewritten in ggproto. Facets are now extendable in the same manner as
geoms and stats, as described in
vignette("extending-ggplot2")
.
We have also added the following new fatures.
facet_grid()
and facet_wrap()
now allow
expressions in their faceting formulas (@DanRuderman, #1596).
When facet_wrap()
results in an uneven number of
panels, axes will now be drawn underneath the hanging panels (fixes
#1607)
Strips can now be freely positioned in facet_wrap()
using the strip.position
argument (deprecates
switch
).
The relative order of panel, strip, and axis can now be
controlled with the theme setting strip.placement
that
takes either inside
(strip between panel and axis) or
outside
(strip after axis).
The theme option panel.margin
has been deprecated in
favour of panel.spacing
to more clearly communicate
intent.
Unfortunately there was a major oversight in the construction of ggproto which lead to extensions capturing the super object at package build time, instead of at package run time (#1826). This problem has been fixed, but requires re-installation of all extension packages.
position
argument in scale_x_*
and
scale_y_*
which can take top
and
bottom
, and left
and right
respectively. The themes of top and right axes can be modified using the
.top
and .right
modifiers to
axis.text.*
and axis.title.*
.scale_x_continuous()
and
scale_y_continuous()
can now display a secondary axis that
is a one-to-one transformation of the primary axis
(e.g. degrees Celcius to degrees Fahrenheit). The secondary axis will be
positioned opposite to the primary axis and can be controlled with the
sec.axis
argument to the scale constructor.
Scales worry less about having breaks. If no breaks can be computed, the plot will work instead of throwing an uninformative error (#791). This is particularly helpful when you have facets with free scales, and not all panels contain data.
Scales now warn when transformation introduces infinite values (#1696).
scale_*_datetime()
now supports time zones. It will
use the timezone attached to the varaible by default, but can be
overridden with the timezone
argument.
New scale_x_time()
and scale_y_time()
generate reasonable default breaks and labels for hms vectors
(#1752).
The treatment of missing values by discrete scales has been thoroughly overhauled (#1584). The underlying principle is that we can naturally represent missing values on discrete variables (by treating just like another level), so by default we should.
This principle applies to:
And to all scales (both position and non-position.)
Compared to the previous version of ggplot2, there are three main changes:
scale_x_discrete()
and
scale_y_discrete()
always show discrete NA, regardless of
their source
If present, NA
s are shown in discete
legends.
All discrete scales gain a na.translate
argument
that allows you to control whether NA
s are translated to
something that can be visualised, or should be left as missing. Note
that if you don’t translate (i.e. na.translate = FALSE)
the missing values will passed on to the layer, which will warning that
it’s dropping missing values. To suppress the warnings, you’ll also need
to add na.rm = TRUE
to the layer call.
There were also a number of other smaller changes
The theme()
constructor now has named arguments
rather than ellipses. This should make autocomplete substantially more
useful. The documentation (including examples) has been considerably
improved.
Built-in themes are more visually homogeneous, and match
theme_grey
better. (@jiho, #1679)
When computing the height of titles, ggplot2 now includes the
height of the descenders (i.e. the bits of g
and
y
that hang beneath the baseline). This improves the
margins around titles, particularly the y axis label (#1712). I have
also very slightly increased the inner margins of axis titles, and
removed the outer margins.
Theme element inheritance is now easier to work with as
modification now overrides default element_blank
elements
(#1555, #1557, #1565, #1567)
Horizontal legends (i.e. legends on the top or bottom) are
horizontally aligned by default (#1842). Use
legend.box = "vertical"
to switch back to the previous
behaviour.
element_line()
now takes an arrow
argument to specify arrows at the end of lines (#1740)
There were a number of tweaks to the theme elements that control legends:
legend.justification
now controls appearance will
plotting the legend outside of the plot area. For example, you can use
theme(legend.justification = "top")
to make the legend
align with the top of the plot.
panel.margin
and legend.margin
have
been renamed to panel.spacing
and
legend.spacing
respectively, to better communicate intent
(they only affect spacing between legends and panels, not the margins
around them)
legend.margin
now controls margin around individual
legends.
New legend.box.background
,
legend.box.spacing
, and legend.box.margin
control the background, spacing, and margin of the legend box (the
region that contains all legends).
ggplot2 now imports tibble. This ensures that all built-in datasets print compactly even if you haven’t explicitly loaded tibble or dplyr (#1677).
Class of aesthetic mapping is preserved when adding
aes()
objects (#1624).
+.gg
now works for lists that include data
frames.
annotation_x()
now works in the absense of global
data (#1655)
geom_*(show.legend = FALSE)
now works for
guide_colorbar
.
geom_boxplot()
gains new outlier.alpha
(@jonathan-g) and
outlier.fill
(@schloerke, #1787) parameters to control
the alpha/fill of outlier points independently of the alpha of the
boxes.
position_jitter()
(and hence
geom_jitter()
) now correctly computes the jitter
width/jitter when supplied by the user (#1775, @has2k1).
geom_contour()
more clearly describes what inputs it
needs (#1577).
geom_curve()
respects the lineend
paramater (#1852).
geom_histogram()
and stat_bin()
understand the breaks
parameter once more. (#1665). The
floating point adjustment for histogram bins is now actually used - it
was previously inadvertently ignored (#1651).
geom_violin()
no longer transforms quantile lines
with the alpha aesthetic (@mnbram, #1714). It no longer errors when
quantiles are requested but data have zero range (#1687). When
trim = FALSE
it once again has a nice range that allows the
density to reach zero (by extending the range 3 bandwidths to either
side of the data) (#1700).
geom_dotplot()
works better when faceting and
binning on the y-axis. (#1618, @has2k1).
geom_hexbin()
once again supports
..density..
(@mikebirdgeneau, #1688).
geom_step()
gives useful warning if only one data
point in layer (#1645).
layer()
gains new check.aes
and
check.param
arguments. These allow geom/stat authors to
optional suppress checks for known aesthetics/parameters. Currently this
is used only in geom_blank()
which powers
expand_limits()
(#1795).
All stat_*()
display a better error message when
required aesthetics are missing.
stat_bin()
and stat_summary_hex()
now
accept length 1 binwidth
(#1610)
stat_density()
gains new argument n
,
which is passed to underlying function stats::density
(“number of equally spaced points at which the density is to be
estimated”). (@hbuschme)
stat_binhex()
now again returns count
rather than value
(#1747)
stat_ecdf()
respects pad
argument
(#1646).
stat_smooth()
once again informs you about the
method it has chosen. It also correctly calculates the size of the
largest group within facets.
x
and y
scales are now symmetric
regarding the list of aesthetics they accept: xmin_final
,
xmax_final
, xlower
, xmiddle
and
xupper
are now valid x
aesthetics.
Scale
extensions can now override the
make_title
and make_sec_title
methods to let
the scale modify the axis/legend titles.
The random stream is now reset after calling
.onAttach()
(#2409).
When mapping an aesthetic to a constant (e.g.
geom_smooth(aes(colour = "loess")))
), the default guide
title is the name of the aesthetic (i.e. “colour”), not the value
(i.e. “loess”) (#1431).
layer()
now accepts a function as the data argument.
The function will be applied to the data passed to the
ggplot()
function and must return a data.frame (#1527,
@thomasp85). This
is a more general version of the deprecated subset
argument.
theme_update()
now uses the +
operator
instead of %+replace%
, so that unspecified values will no
longer be NULL
ed out. theme_replace()
preserves the old behaviour if desired (@oneillkza, #1519).
stat_bin()
has been overhauled to use the same
algorithm as ggvis, which has been considerably improved thanks to the
advice of Randy Prium (@rpruim). This includes:
Better arguments and a better algorithm for determining the
origin. You can now specify either boundary
or the
center
of a bin. origin
has been deprecated in
favour of these arguments.
drop
is deprecated in favour of pad
,
which adds extra 0-count bins at either end (needed for frequency
polygons). geom_histogram()
defaults to
pad = FALSE
which considerably improves the default limits
for the histogram, especially when the bins are big (#1477).
The default algorithm does a (somewhat) better job at picking nice widths and origins across a wider range of input data.
bins = n
now gives a histogram with n
bins, not n + 1
(#1487).
All \donttest{}
examples run.
All geom_()
and stat_()
functions now
have consistent argument order: data + mapping, then geom/stat/position,
then ...
, then specific arguments, then arguments common to
all layers (#1305). This may break code if you were previously relying
on partial name matching, but in the long-term should make ggplot2
easier to use. In particular, you can now set the n
parameter in geom_density2d()
without it partially matching
na.rm
(#1485).
For geoms with both colour
and fill
,
alpha
once again only affects fill (Reverts #1371, #1523).
This was causing problems for people.
facet_wrap()
/facet_grid()
works with
multiple empty panels of data (#1445).
facet_wrap()
correctly swaps nrow
and
ncol
when faceting vertically (#1417).
ggsave("x.svg")
now uses svglite to produce the svg
(#1432).
geom_boxplot()
now understands
outlier.color
(#1455).
geom_path()
knows that “solid” (not just 1)
represents a solid line (#1534).
geom_ribbon()
preserves missing values so they
correctly generate a gap in the ribbon (#1549).
geom_tile()
once again accepts width
and height
parameters (#1513). It uses
draw_key_polygon()
for better a legend, including a
coloured outline (#1484).
layer()
now automatically adds a na.rm
parameter if none is explicitly supplied.
position_jitterdodge()
now works on all possible
dodge aesthetics, e.g. color
, linetype
etc.
instead of only based on fill
(@bleutner)
position = "nudge"
now works (although it doesn’t do
anything useful) (#1428).
The default scale for columns of class “AsIs” is now “identity” (#1518).
scale_*_discrete()
has better defaults when used
with purely continuous data (#1542).
scale_size()
warns when used with categorical
data.
scale_size()
, scale_colour()
, and
scale_fill()
gain date and date-time variants
(#1526).
stat_bin_hex()
and stat_bin_summary()
now use the same underlying algorithm so results are consistent (#1383).
stat_bin_hex()
now accepts a weight
aesthetic.
To be consistent with related stats, the output variable from
stat_bin_hex()
is now value instead of count.
stat_density()
gains a bw
parameter
which makes it easy to get consistent smoothing between facets (@jiho)
stat-density-2d()
no longer ignores the
h
parameter, and now accepts bins
and
binwidth
parameters to control the number of contours
(#1448, @has2k1).
stat_ecdf()
does a better job of adding padding to
-Inf/Inf, and gains an argument pad
to suppress the padding
if not needed (#1467).
stat_function()
gains an xlim
parameter
(#1528). It once again works with discrete x values (#1509).
stat_summary()
preserves sorted x order which avoids
artefacts when display results with geom_smooth()
(#1520).
All elements should now inherit correctly for all themes except
theme_void()
. (@Katiedaisey, #1555)
theme_void()
was completely void of text but facets
and legends still need labels. They are now visible (@jiho).
You can once again set legend key and height width to unit
arithmetic objects (like 2 * unit(1, "cm")
)
(#1437).
Eliminate spurious warning if you have a layer with no data and no aesthetics (#1451).
Removed a superfluous comma in theme-defaults.r
code
(@jschoeley)
Fixed a compatibility issue with ggproto
and R
versions prior to 3.1.2. (#1444)
Fixed issue where coord_map()
fails when given an
explicit parameters
argument (@tdmcarthur, #1729)
Fixed issue where geom_errorbarh()
had a required
x
aesthetic (#1933)
ggplot no longer throws an error if your plot has no layers.
Instead it automatically adds geom_blank()
(#1246).
New cut_width()
is a convenient replacement for the
verbose plyr::round_any()
, with the additional benefit of
offering finer control.
New geom_count()
is a convenient alias to
stat_sum()
. Use it when you have overlapping points on a
scatterplot. stat_sum()
now defaults to using counts
instead of proportions.
New geom_curve()
adds curved lines, with a similar
specification to geom_segment()
(@veraanadi, #1088).
Date and datetime scales now have date_breaks
,
date_minor_breaks
and date_labels
arguments so
that you never need to use the long scales::date_breaks()
or scales::date_format()
.
geom_bar()
now has it’s own stat, distinct from
stat_bin()
which was also used by
geom_histogram()
. geom_bar()
now uses
stat_count()
which counts values at each distinct value of
x (i.e. it does not bin the data first). This can be useful when you
want to show exactly which values are used in a continuous
variable.
geom_point()
gains a stroke
aesthetic
which controls the border width of shapes 21-25 (#1133, @SeySayux).
size
and stroke
are additive so a point with
size = 5
and stroke = 5
will have a diameter
of 10mm. (#1142)
New position_nudge()
allows you to slightly offset
labels (or other geoms) from their corresponding points
(#1109).
scale_size()
now maps values to area, not
radius. Use scale_radius()
if you want the old behaviour
(not recommended, except perhaps for lines).
New stat_summary_bin()
works like
stat_summary()
but on binned data. It’s a generalisation of
stat_bin()
that can compute any aggregate, not just counts
(#1274). Both default to mean_se()
if no aggregation
functions are supplied (#1386).
Layers are now much stricter about their arguments - you will get an error if you’ve supplied an argument that isn’t an aesthetic or a parameter. This is likely to cause some short-term pain but in the long-term it will make it much easier to spot spelling mistakes and other errors (#1293).
This change does break a handful of geoms/stats that used
...
to pass additional arguments on to the underlying
computation. Now geom_smooth()
/stat_smooth()
and geom_quantile()
/stat_quantile()
use
method.args
instead (#1245, #1289); and
stat_summary()
(#1242), stat_summary_hex()
,
and stat_summary2d()
use fun.args
.
There is now an official mechanism for defining Stats, Geoms, and
Positions in other packages. See
vignette("extending-ggplot2")
for details.
All Geoms, Stats and Positions are now exported, so you can inherit from them when making your own objects (#989).
ggplot2 no longer uses proto or reference classes. Instead, we now use ggproto, a new OO system designed specifically for ggplot2. Unlike proto and RC, ggproto supports clean cross-package inheritance. Creating a new OO system isn’t usually the right way to solve a problem, but I’m pretty sure it was necessary here. Read more about it in the vignette.
aes_()
replaces aes_q()
. It also
supports formulas, so the most concise SE version of
aes(carat, price)
is now aes_(~carat, ~price)
.
You may want to use this form in packages, as it will avoid spurious
R CMD check
warnings about undefined global
variables.
geom_text()
has been overhauled to make labelling
your data a little easier. It:
nudge_x
and nudge_y
arguments let you
offset labels from their corresponding points (#1120).
check_overlap = TRUE
provides a simple way to avoid
overplotting of labels: labels that would otherwise overlap are omitted
(#1039).
hjust
and vjust
can now be character
vectors: “left”, “center”, “right”, “bottom”, “middle”, “top”. New
options include “inward” and “outward” which align text towards and away
from the center of the plot respectively.
geom_label()
works like geom_text()
but
draws a rounded rectangle underneath each label (#1039). This is useful
when you want to label plots that are dense with data.
The little used aes_auto()
has been
deprecated.
aes_q()
has been replaced with aes_()
to be consistent with SE versions of NSE functions in other
packages.
The order
aesthetic is officially deprecated. It
never really worked, and was poorly documented.
The stat
and position
arguments to
qplot()
have been deprecated. qplot()
is
designed for quick plots - if you need to specify position or stat, use
ggplot()
instead.
The theme setting axis.ticks.margin
has been
deprecated: now use the margin property of
axis.text
.
stat_abline()
, stat_hline()
and
stat_vline()
have been removed: these were never suitable
for use other than with geom_abline()
etc and were not
documented.
show_guide
has been renamed to
show.legend
: this more accurately reflects what it does
(controls appearance of layer in legend), and uses the same convention
as other ggplot2 arguments (i.e. a .
between names). (Yes,
I know that’s inconsistent with function names with use _
,
but it’s too late to change now.)
A number of geoms have been renamed to be internally consistent:
stat_binhex()
and stat_bin2d()
have
been renamed to stat_bin_hex()
and
stat_bin_2d()
(#1274). stat_summary2d()
has
been renamed to stat_summary_2d()
,
geom_density2d()
/stat_density2d()
has been
renamed to
geom_density_2d()
/stat_density_2d()
.
stat_spoke()
is now geom_spoke()
since
I realised it’s a reparameterisation of
geom_segment()
.
stat_bindot()
has been removed because it’s so
tightly coupled to geom_dotplot()
. If you happened to use
stat_bindot()
, just change to geom_dotplot()
(#1194).
All defunct functions have been removed.
The default theme_grey()
background colour has been
changed from “grey90” to “grey92”: this makes the background a little
less visually prominent.
Labels and titles have been tweaked for readability:
Axes labels are darker.
Legend and axis titles are given the same visual treatment.
The default font size dropped from 12 to 11. You might be surprised that I’ve made the default text size smaller as it was already hard for many people to read. It turns out there was a bug in RStudio (fixed in 0.99.724), that shrunk the text of all grid based graphics. Once that was resolved the defaults seemed too big to my eyes.
More spacing between titles and borders.
Default margins scale with the theme font size, so the appearance at larger font sizes should be considerably improved (#1228).
alpha
now affects both fill and colour aesthetics
(#1371).
element_text()
gains a margins argument which allows
you to add additional padding around text elements. To help see what’s
going on use debug = TRUE
to display the text region and
anchors.
The default font size in geom_text()
has been
decreased from 5mm (14 pts) to 3.8 mm (11 pts) to match the new default
theme sizes.
A diagonal line is no longer drawn on bar and rectangle legends. Instead, the border has been tweaked to be more visible, and more closely match the size of line drawn on the plot.
geom_pointrange()
and geom_linerange()
get vertical (not horizontal) lines in the legend (#1389).
The default line size
for geom_smooth()
has been increased from 0.5 to 1 to make it easier to see when overlaid
on data.
geom_bar()
and geom_rect()
use a
slightly paler shade of grey so they aren’t so visually heavy.
geom_boxplot()
now colours outliers the same way as
the boxes.
geom_point()
now uses shape 19 instead of 16. This
looks much better on the default Linux graphics device. (It’s very
slightly smaller than the old point, but it shouldn’t affect any
graphics significantly)
Sizes in ggplot2 are measured in mm. Previously they were converted to pts (for use in grid) by multiplying by 72 / 25.4. However, grid uses printer’s points, not Adobe (big pts), so sizes are now correctly multiplied by 72.27 / 25.4. This is unlikely to noticeably affect display, but it’s technically correct (https://youtu.be/hou0lU8WMgo).
The default legend will now allocate multiple rows (if vertical)
or columns (if horizontal) in order to make a legend that is more likely
to fit on the screen. You can override with the
nrow
/ncol
arguments to
guide_legend()
<- ggplot(mpg, aes(displ,hwy, colour = model)) + geom_point()
p
p+ theme(legend.position = "bottom")
p # Previous behaviour
+ guides(colour = guide_legend(ncol = 1)) p
New theme_void()
is completely empty. It’s useful
for plots with non- standard coordinates or for drawings (@jiho, #976).
New theme_dark()
has a dark background designed to
make colours pop out (@jiho, #1018)
theme_minimal()
became slightly more minimal by
removing the axis ticks: labels now line up directly beneath grid lines
(@tomschloss,
#1084)
New theme setting panel.ontop
(logical) make it
possible to place background elements (i.e., gridlines) on top of data.
Best used with transparent panel.background
(@noamross. #551).
The facet labelling system was updated with many new features and a more flexible interface (@lionel-). It now works consistently across grid and wrap facets. The most important user visible changes are:
facet_wrap()
gains a labeller
option
(#25).
facet_grid()
and facet_wrap()
gain a
switch
argument to display the facet titles near the axes.
When switched, the labels become axes subtitles. switch
can
be set to “x”, “y” or “both” (the latter only for grids) to control
which margin is switched.
The labellers (such as label_value()
or
label_both()
) also get some new features:
They now offer the multi_line
argument to control
whether to display composite facets (those specified as
~var1 + var2
) on one or multiple lines.
In label_bquote()
you now refer directly to the
names of variables. With this change, you can create math expressions
that depend on more than one variable. This math expression can be
specified either for the rows or the columns and you can also provide
different expressions to each margin.
As a consequence of these changes, referring to x
in
backquoted expressions is deprecated.
Similarly to label_bquote()
, labeller()
now take .rows
and .cols
arguments. In
addition, it also takes .default
. labeller()
is useful to customise how particular variables are labelled. The three
additional arguments specify how to label the variables are not
specifically mentioned, respectively for rows, columns or both. This
makes it especially easy to set up a project-wide labeller dispatcher
that can be reused across all your plots. See the documentation for an
example.
The new labeller label_context()
adapts to the
number of factors facetted over. With a single factor, it displays only
the values, just as before. But with multiple factors in a composite
margin (e.g. with ~cyl + am
), the labels are passed over to
label_both()
. This way the variables names are displayed
with the values to help identifying them.
On the programming side, the labeller API has been rewritten in order
to offer more control when faceting over multiple factors (e.g. with
formulae such as ~cyl + am
). This also means that if you
have written custom labellers, you will need to update them for this
version of ggplot.
Previously, a labeller function would take variable
and value
arguments and return a character vector. Now,
they take a data frame of character vectors and return a list. The input
data frame has one column per factor facetted over and each column in
the returned list becomes one line in the strip label. See documentation
for more details.
The labels received by a labeller now contain metadata: their margin (in the “type” attribute) and whether they come from a wrap or a grid facet (in the “facet” attribute).
Note that the new as_labeller()
function operator
provides an easy way to transform an existing function to a labeller
function. The existing function just needs to take and return a
character vector.
Improved documentation for aes()
,
layer()
and much much more.
I’ve tried to reduce the use of ...
so that you can
see all the documentation in one place rather than having to integrate
multiple pages. In some cases this has involved adding additional
arguments to geoms to make it more clear what you can do:
geom_smooth()
gains explicit method
,
se
and formula
arguments.
geom_histogram()
gains binwidth
,
bins
, origin
and right
arguments.
geom_jitter()
gains width
and
height
arguments to make it easier to control the amount of
jittering without using the lengthy position_jitter()
function (#1116)
Use of qplot()
in examples has been minimised
(#1123, @hrbrmstr).
This is inline with the 2nd edition of the ggplot2 box, which minimises
the use of qplot()
in favour of
ggplot()
.
Tighly linked geoms and stats (e.g. geom_boxplot()
and stat_boxplot()
) are now documented in the same file so
you can see all the arguments in one place. Variations of the same idea
(e.g. geom_path()
, geom_line()
, and
geom_step()
) are also documented together.
It’s now obvious that you can set the binwidth
parameter for stat_bin_hex()
,
stat_summary_hex()
, stat_bin_2d()
, and
stat_summary_2d()
.
The internals of positions have been cleaned up considerably. You’re unlikely to notice any external changes, although the documentation should be a little less confusing since positions now don’t list parameters they never use.
All datasets have class tbl_df
so if you also use
dplyr, you get a better print method.
economics
has been brought up to date to
2015-04-01.
New economics_long
is the economics data in long
form.
New txhousing
dataset containing information about
the Texas housing market. Useful for examples that need multiple time
series, and for demonstrating model+vis methods.
New luv_colours
dataset which contains the locations
of all built-in colors()
in Luv space.
movies
has been moved into its own package,
ggplot2movies, because it was large and not terribly useful. If you’ve
used the movies dataset, you’ll now need to explicitly load the package
with library(ggplot2movies)
.
All partially matched arguments and $
have been been
replaced with full matches (@jimhester, #1134).
ggplot2 now exports alpha()
from the scales package
(#1107), and arrow()
and unit()
from grid
(#1225). This means you don’t need attach scales/grid or do
scales::
/grid::
for these commonly used
functions.
aes_string()
now only parses character inputs. This
fixes bugs when using it with numbers and non default
OutDec
settings (#1045).
annotation_custom()
automatically adds a unique id
to each grob name, making it easier to plot multiple grobs with the same
name (e.g. grobs of ggplot2 graphics) in the same plot (#1256).
borders()
now accepts xlim and ylim arguments for
specifying the geographical region of interest (@markpayneatwork, #1392).
coord_cartesian()
applies the same expansion factor
to limits as for scales. You can suppress with
expand = FALSE
(#1207).
coord_trans()
now works when breaks are suppressed
(#1422).
cut_number()
gives error message if the number of
requested bins can be created because there are two few unique values
(#1046).
Character labels in facet_grid()
are no longer
(incorrectly) coerced into factors. This caused problems with custom
label functions (#1070).
facet_wrap()
and facet_grid()
now allow
you to use non-standard variable names by surrounding them with
backticks (#1067).
facet_wrap()
more carefully checks its
nrow
and ncol
arguments to ensure that they’re
specified correctly (@richierocks, #962)
facet_wrap()
gains a dir
argument to
control the direction the panels are wrapped in. The default is “h” for
horizontal. Use “v” for vertical layout (#1260).
geom_abline()
, geom_hline()
and
geom_vline()
have been rewritten to have simpler behaviour
and be more consistent:
stat_abline()
, stat_hline()
and
stat_vline()
have been removed: these were never suitable
for use other than with geom_abline()
etc and were not
documented.
geom_abline()
, geom_vline()
and
geom_hline()
are bound to stat_identity()
and
position_identity()
Intercept parameters can no longer be set to a function.
They are all documented in one file, since they are so closely related.
geom_bin2d()
will now let you specify one
dimension’s breaks exactly, without touching the other dimension’s
default breaks at all (#1126).
geom_crossbar()
sets grouping correctly so you can
display multiple crossbars on one plot. It also makes the default
fatten
argument a little bigger to make the middle line
more obvious (#1125).
geom_histogram()
and geom_smooth()
now
only inform you about the default values once per layer, rather than
once per panel (#1220).
geom_pointrange()
gains fatten
argument
so you can control the size of the point relative to the size of the
line.
geom_segment()
annotations were not transforming
with scales (@BrianDiggs, #859).
geom_smooth()
is no longer so chatty. If you want to
know what the deafult smoothing method is, look it up in the
documentation! (#1247)
geom_violin()
now has the ability to draw quantile
lines (@DanRuderman).
ggplot()
now captures the parent frame to use for
evaluation, rather than always defaulting to the global environment.
This should make ggplot more suitable to use in more situations
(e.g. with knitr)
ggsave()
has been simplified a little to make it
easier to maintain. It no longer checks that you’re printing a ggplot2
object (so now also works with any grid grob) (#970), and always
requires a filename. Parameter device
now supports
character argument to specify which supported device to use (‘pdf’,
‘png’, ‘jpeg’, etc.), for when it cannot be correctly inferred from the
file extension (for example when a temporary filename is supplied server
side in shiny apps) (@sebkopf, #939). It no longer opens a
graphics device if one isn’t already open - this is annoying when you’re
running from a script (#1326).
guide_colorbar()
creates correct legend if only one
color (@krlmlr,
#943).
guide_colorbar()
no longer fails when the legend is
empty - previously this often masked misspecifications elsewhere in the
plot (#967).
New layer_data()
function extracts the data used for
plotting for a given layer. It’s mostly useful for testing.
User supplied minor_breaks
can now be supplied on
the same scale as the data, and will be automatically transformed with
by scale (#1385).
You can now suppress the appearance of an axis/legend title (and
the space that would allocated for it) with NULL
in the
scale_
function. To use the default lable, use
waiver()
(#1145).
Position adjustments no longer warn about potentially varying ranges because the problem rarely occurs in practice and there are currently a lot of false positives since I don’t understand exactly what FP criteria I should be testing.
scale_fill_grey()
now uses red for missing values.
This matches scale_colour_grey()
and makes it obvious where
missing values lie. Override with na.value
.
scale_*_gradient2()
defaults to using Lab colour
space.
scale_*_gradientn()
now allows colours
or colors
(#1290)
scale_y_continuous()
now also transforms the
lower
, middle
and upper
aesthetics used by geom_boxplot()
: this only affects
geom_boxplot(stat = "identity")
(#1020).
Legends no longer inherit aesthetics if inherit.aes
is FALSE (#1267).
lims()
makes it easy to set the limits of any axis
(#1138).
labels = NULL
now works with
guide_legend()
and guide_colorbar()
. (#1175,
#1183).
override.aes
now works with American aesthetic
spelling, e.g. color
Scales no longer round data points to improve performance of colour palettes. Instead the scales package now uses a much faster colour interpolation algorithm (#1022).
scale_*_brewer()
and
scale_*_distiller()
add new direction
argument
of scales::brewer_pal
, making it easier to change the order
of colours (@jiho,
#1139).
scale_x_date()
now clips dates outside the limits in
the same way as scale_x_continuous()
(#1090).
stat_bin()
gains bins
arguments, which
denotes the number of bins. Now you can set bins=100
instead of binwidth=0.5
. Note that breaks
or
binwidth
will override it (@tmshn, #1158, #102).
stat_boxplot()
warns if a continuous variable is
used for the x
aesthetic without also supplying a
group
aesthetic (#992, @krlmlr).
stat_summary_2d()
and stat_bin_2d()
now
share exactly the same code for determining breaks from
bins
, binwidth
, and
origin
.
stat_summary_2d()
and stat_bin_2d()
now
output in tile/raster compatible form instead of rect compatible
form.
Automatically computed breaks do not lead to an error for transformations like “probit” where the inverse can map to infinity (#871, @krlmlr)
stat_function()
now always evaluates the function on
the original scale. Previously it computed the function on transformed
scales, giving incorrect values (@BrianDiggs, #1011).
strip_dots
works with anonymous functions within
calculated aesthetics
(e.g. aes(sapply(..density.., function(x) mean(x))))
(#1154, @NikNakk)
theme()
gains validate = FALSE
parameter to turn off validation, and hence store arbitrary additional
data in the themes. (@tdhock, #1121)
Improved the calculation of segments needed to draw the curve representing a line when plotted in polar coordinates. In some cases, the last segment of a multi-segment line was not drawn (@BrianDiggs, #952)