geom_rug()
now works with coord_flip()
(@has2k1, #2987).
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. One example is the new LayerSf
class which
locates the geometry column in sf objects and sets up an aesthetic mapping for it
(@clauswilke, #2872).
Default labels are now generated more consistently; e.g., symbols no longer
get backticks, and long expressions are abbreviated with ...
(@yutannihilation, #2981).
Aesthetic mappings now accept functions that return NULL
(@yutannihilation,
#2997).
Closed arrows in element_line()
are now filled (@yutannihilation, #2924).
ggplot2 now works in Turkish locale (@yutannihilation, #3011).
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.
```R
guide_train.legend <- function(guide, scale) {...}
guide_train.legend <- function(guide, scale, aesthetic = NULL) {...} ```
Then, inside the function, replace scale$aesthetics[1]
,
aesthetic %||% scale$aesthetics[1]
. (The %||% operator is defined in the
rlang package).
```R
setNames(list(scale$map(breaks)), scale$aesthetics[1])
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.
geom_sf()
and coord_sf()
:r
nc <- sf::st_read(system.file("shape/nc.shp", package = "sf"), quiet = TRUE)
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..))
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).
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:
```r
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
(@malcolmbarrett, #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()
```R p <- ggplot(mpg, aes(displ,hwy, colour = model)) + geom_point() p p + theme(legend.position = "bottom")
p + guides(colour = guide_legend(ncol = 1)) ```
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
, originand
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)
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