An implementation of the Grammar of Graphics in R
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 facetting
formulas (@DanRuderman, #1596).facet_wrap() results in an uneven number of panels, axes will now be
drawn underneath the hanging panels (fixes #1607)facet_wrap() using the
strip.position argument (deprecates switch).strip.placement that takes either inside (strip between
panel and axis) or outside (strip after axis).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.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.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 sourceNAs are shown in discete legends.na.translate argument that allows you to
control whether NAs 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
theme() constructor now has named arguments rather than ellipses. This
should make autocomplete substantially more useful. The documentation
(including exampes) has been considerably improved.theme_grey better.
(@jiho, #1679)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.element_blank elements (#1555, #1557, #1565, #1567)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.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).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 facetting 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).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.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 NULLed 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:
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).bins = n now gives a histogram with n bins, not n + 1 (#1487).\donttest{} examples run.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).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 facetting 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).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).theme_void().
(@Katiedaisey, #1555)theme_void() was completely void of text but facets and legends still
need labels. They are now visible (@jiho).2 * unit(1, "cm")) (#1437).theme-defaults.r code (@jschoeley)ggproto and R versions prior to 3.1.2.
(#1444)ggplot no longer throws an error if you 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.
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.aes_auto() has been deprecated.aes_q() has been replaced with aes_() to be consistent with SE versions
of NSE functions in other packages.order aesthetic is officially deprecated. It never really worked, and
was poorly documented.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.axis.ticks.margin has been deprecated: now use the margin
property of axis.ticks.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:
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()
p <- ggplot(mpg, aes(displ,hwy, colour = model)) + geom_point()
p
p + theme(legend.position = "bottom")
# Previous behaviour
p + guides(colour = guide_legend(ncol = 1))
theme_void() is completely empty. It's useful for plots with non-
standard coordinates or for drawings (@jiho, #976).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)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 facetting 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.
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.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.aes(), layer() and much much more.... 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, originandright`
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)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().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.binwidth parameter for
stat_bin_hex(), stat_summary_hex(), stat_bin_2d(), and
stat_summary_2d().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.economics_long is the economics data in long form.txhousing dataset containing information about the Texas housing
market. Useful for examples that need multiple time series, and for
demonstrating model+vis methods.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).$ have been been replaced with
full matches (@jimhester, #1134).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).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()
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).layer_data() function extracts the data used for plotting for a given
layer. It's mostly useful for testing.minor_breaks can now be supplied on the same scale as
the data, and will be automatically transformed with by scale (#1385).NULL in the scale_ function. To
use the default lable, use waiver() (#1145).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).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. colorscale_*_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.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)R CMD check --run-donttest in R-devel.coord_quickmap() computes and
sets the correct aspect ratio between one degree of latitude and one degree
of longitude at the centre of the plotted region. It does not perform full
fledged mapping projection as coord_map() does and therefore is much
faster. Yet, it gives a correct approximation for small scale maps (a few
degrees in either direction) at medium to low latitudes (@jiho, #922).geom_boxplot gain new varwidth argument for controlling whether or not
the width of boxplots should be proportional to the size of the groups
(@tsieger, #927).position_jitterdodge() combines position_jitter() and position_dodge(),
allowing the user to plot and align points generated by e.g. geom_point()
with those generated by a dodged geom_boxplot(). See
example(position_jitterdodge) for a potential usage. (@kevinushey, #932)xlim() or ylim() (@jimhester, #557).scale_fill/colour_distiller() functions (@jiho, #925).stat_ellipse() adds data ellipses. It supports bivariate normal and t distributions,
as well as a euclidian distance circle. (@jofrhwld, #926)theme_linedraw() is similar to theme_bw() but with
truly only white and black elements and spacing between elements identical
to theme_gray. theme_light is similar but with light gray box and axes
around the plot, to emphasise content more (@jiho, #923)vjust parameter other than the default 0.5; the interpretation of vjust
and hjust is now the same for both rotated and non-rotated text elements
(0 = top/left, 1 = bottom/right, 0.5 = centered). (@krlmlr, #883)labeller() for formatting faceting values.
(@stefanedwards, #910). Added label_wrap_gen based on
https://github.com/hadley/ggplot2/wiki/labeller#writing-new-labellers
(@stefanedwards, #910)aes() no more treats variables like `a..x..b as a calculated aesthetic.
(@krlmlr, #834.)aes_q() function to generate aesthetic specifications from
quoted calls/names. aes_string() uses names x and y for first
two unnamed arguments.fortify.SpatialPolygonsDataFrame() now calls polygons without
requiring the sp to be loaded first (@seancarmody, #879).geom_boxplot() use the default colour, size and shape from
geom_point(). Changing the defaults of geom_point() with
update_geom_defaults() will apply the same changes to the outliers of
geom_boxplot(). Changing the defaults for the outliers was previously not
possible. (@ThierryO, #757)geom_dotplot() now works with qplot(). (@rasmusab. Fixes #825)theme_bw() and theme_classic() (@jiho, #934)stat_smooth() checks for method = "auto" and method = "glm" in
a safer way."none" to documentation of theme() for parameter legend.position
(@krlmlr, #829).ggpcp(), ggfluctuation(), ggmissing(), ggstructure(), and
ggorder() are now defunct and have been removed.