This geom is like ggplot2::geom_pointrange() in that it draws points and
lines. However, unlike ggplot2::geom_pointrange(), this geom takes in sets
of x-y points and calculates the ranges/intervals based on those. It then
plots both the original points and the ranges using
ggplot2::geom_linerange(). In cases where not all points are connected
(because of grouping due to aesthetics), the background_line argument can
be used to add lines that span the entire point range for each x or y
category.
geom_points_range(
mapping = NULL,
data = NULL,
stat = "points_range",
position = "identity",
...,
na.rm = FALSE,
orientation = NA,
background_line = NULL,
show.legend = NA,
inherit.aes = TRUE
)stat_points_range(
mapping = NULL,
data = NULL,
geom = "points_range",
position = "identity",
...,
na.rm = FALSE,
orientation = NA,
show.legend = NA,
inherit.aes = TRUE
)
Set of aesthetic mappings created by aes(). If specified and
inherit.aes = TRUE (the default), it is combined with the default mapping
at the top level of the plot. You must supply mapping if there is no plot
mapping.
The data to be displayed in this layer. There are three options:
If NULL, the default, the data is inherited from the plot
data as specified in the call to ggplot().
A data.frame, or other object, will override the plot
data. All objects will be fortified to produce a data frame. See
fortify() for which variables will be created.
A function will be called with a single argument,
the plot data. The return value must be a data.frame, and
will be used as the layer data. A function can be created
from a formula (e.g. ~ head(.x, 10)).
The statistical transformation to use on the data for this layer.
When using a geom_*() function to construct a layer, the stat
argument can be used the override the default coupling between geoms and
stats. The stat argument accepts the following:
A Stat ggproto subclass, for example StatCount.
A string naming the stat. To give the stat as a string, strip the
function name of the stat_ prefix. For example, to use stat_count(),
give the stat as "count".
A position adjustment to use on the data for this layer. This
can be used in various ways, including to prevent overplotting and
improving the display. The position argument accepts the following:
The result of calling a position function, such as position_jitter().
This method allows for passing extra arguments to the position.
A string naming the position adjustment. To give the position as a
string, strip the function name of the position_ prefix. For example,
to use position_jitter(), give the position as "jitter".
Arguments passed on to both ggplot2::geom_linerange() and
ggplot2::geom_point().
If FALSE, the default, missing values are removed with
a warning. If TRUE, missing values are silently removed.
The orientation of the layer. The default (NA)
automatically determines the orientation from the aesthetic mapping. In the
rare event that this fails it can be given explicitly by setting orientation
to either "x" or "y". See the Orientation section for more detail.
A named list of aesthetic values to use for plotted
line segments that span the entire y or x range for each x or y
category. The default aesthetics will be used for any aesthetics that are
not specified in the list. This can be useful if the plotted groups of
points don't overlap but you want a continuous line connecting all points
for a given x or y category. If NULL (the default), no line segments
will be plotted.
logical. Should this layer be included in the legends?
NA, the default, includes if any aesthetics are mapped.
FALSE never includes, and TRUE always includes.
It can also be a named logical vector to finely select the aesthetics to
display. To include legend keys for all levels, even
when no data exists, use TRUE. If NA, all levels are shown in legend,
but unobserved levels are omitted.
If FALSE, overrides the default aesthetics,
rather than combining with them. This is most useful for helper functions
that define both data and aesthetics and shouldn't inherit behaviour from
the default plot specification, e.g. borders().
The geometric object to use to display the data for this layer.
When using a stat_*() function to construct a layer, the geom argument
can be used to override the default coupling between stats and geoms. The
geom argument accepts the following:
A Geom ggproto subclass, for example GeomPoint.
A string naming the geom. To give the geom as a string, strip the
function name of the geom_ prefix. For example, to use geom_point(),
give the geom as "point".
geom_points_range() understands the following
aesthetics (required aesthetics are in bold):
x
y
size
color/colour
fill
shape
alpha
group
linetype
linewidth
These are calculated by the 'stat' part of
layers and can be accessed with delayed evaluation.
stat_points_range() provides the following variables, some of which
depend on the orientation:
after_stat(ymin) or after_stat(xmin)
the minimum extent of the point range
after_stat(ymax) or after_stat(xmax)
the maximum extent of the point range
This geom treats each axis differently and, thus, can thus have two orientations. Often the orientation is easy to deduce from a combination of the given mappings and the types of positional scales in use. Thus, ggplot2 will by default try to guess which orientation the layer should have. Under rare circumstances, the orientation is ambiguous and guessing may fail. In that case the orientation can be specified directly using the orientation parameter, which can be either "x" or "y". The value gives the axis that the geom should run along, "x" being the default orientation you would expect for the geom.
library(ggplot2)
if (FALSE) { # require(palaeoverse)
library(palaeoverse)
data(tetrapods)
tetrapod_names <- tetrapods$accepted_name[1:50]
beds_sampled <- sample.int(n = 10, size = 50, replace = TRUE)
occdf <- data.frame(taxon = tetrapod_names, bed = beds_sampled)
ggplot(occdf, aes(y = reorder(taxon, bed, min), x = bed)) +
geom_points_range()
}
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