
Emphasize some observations with points
Source:R/geom-pointless.R, R/stat-pointless.R
geom_pointless.RdThis is a wrapper around ggplot2::geom_point() with the one
additional argument: location. This geom aims to emphasis some observations
but is not particularly useful on its own - hence its name - but hopefully
in conjunction with geom_line() and friends, see examples.
Usage
geom_pointless(
mapping = NULL,
data = NULL,
stat = "pointless",
position = "identity",
...,
location = "last",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
stat_pointless(
mapping = NULL,
data = NULL,
geom = "point",
position = "identity",
...,
location = "last",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)Arguments
- mapping
Set of aesthetic mappings created by
aes(). If specified andinherit.aes = TRUE(the default), it is combined with the default mapping at the top level of the plot. You must supplymappingif there is no plot mapping.- data
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 toggplot().A
data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. Seefortify()for which variables will be created.A
functionwill be called with a single argument, the plot data. The return value must be adata.frame, and will be used as the layer data. Afunctioncan be created from aformula(e.g.~ head(.x, 10)).- stat
The statistical transformation to use on the data for this layer. When using a
geom_*()function to construct a layer, thestatargument can be used to override the default coupling between geoms and stats. Thestatargument accepts the following:A
Statggproto subclass, for exampleStatCount.A string naming the stat. To give the stat as a string, strip the function name of the
stat_prefix. For example, to usestat_count(), give the stat as"count".For more information and other ways to specify the stat, see the layer stat documentation.
- position
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
positionargument 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 useposition_jitter(), give the position as"jitter".For more information and other ways to specify the position, see the layer position documentation.
- ...
Other arguments passed on to
layer()'sparamsargument. These arguments broadly fall into one of 4 categories below. Notably, further arguments to thepositionargument, or aesthetics that are required can not be passed through.... Unknown arguments that are not part of the 4 categories below are ignored.Static aesthetics that are not mapped to a scale, but are at a fixed value and apply to the layer as a whole. For example,
colour = "red"orlinewidth = 3. The geom's documentation has an Aesthetics section that lists the available options. The 'required' aesthetics cannot be passed on to theparams. Please note that while passing unmapped aesthetics as vectors is technically possible, the order and required length is not guaranteed to be parallel to the input data.When constructing a layer using a
stat_*()function, the...argument can be used to pass on parameters to thegeompart of the layer. An example of this isstat_density(geom = "area", outline.type = "both"). The geom's documentation lists which parameters it can accept.Inversely, when constructing a layer using a
geom_*()function, the...argument can be used to pass on parameters to thestatpart of the layer. An example of this isgeom_area(stat = "density", adjust = 0.5). The stat's documentation lists which parameters it can accept.The
key_glyphargument oflayer()may also be passed on through.... This can be one of the functions described as key glyphs, to change the display of the layer in the legend.
- location
Position(s) to highlight:
"minimum","maximum","first","last"(default), or"all".- na.rm
If
FALSE, the default, missing values are removed with a warning. IfTRUE, missing values are silently removed.- show.legend
logical. Should this layer be included in the legends?
NA, the default, includes if any aesthetics are mapped.FALSEnever includes, andTRUEalways 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, useTRUE. IfNA, all levels are shown in legend, but unobserved levels are omitted.- inherit.aes
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.annotation_borders().- geom
The geometric object to use to display the data for this layer. When using a
stat_*()function to construct a layer, thegeomargument can be used to override the default coupling between stats and geoms. Thegeomargument accepts the following:A
Geomggproto subclass, for exampleGeomPoint.A string naming the geom. To give the geom as a string, strip the function name of the
geom_prefix. For example, to usegeom_point(), give the geom as"point".For more information and other ways to specify the geom, see the layer geom documentation.
Value
A ggplot2::layer() object that can be added to a ggplot2::ggplot().
Details
The location argument allows you to specify which observations
should be highlighted. If location is "last", the default, a
single point will be plotted at the last non-missing observation.
The locations are determined in the order in which they appear in
the data – like ggplot2::geom_path() does compared to ggplot2::geom_line().
Points may be plotted on top of one another; if location is set
to "all", then the order in which points are plotted from top to
bottom is: "first" > "last" > "minimum" > "maximum".
Otherwise, the order is determined as specified in the location argument,
which also then applies to the order legend key labels, see
vignette("ggpointless") for more details.
Aesthetics
geom_pointless() understands the following aesthetics. Required aesthetics are displayed in bold and defaults are displayed for optional aesthetics:
| • | x | |
| • | y | |
| • | alpha | → NA |
| • | colour | → via theme() |
| • | fill | → via theme() |
| • | group | → inferred |
| • | shape | → via theme() |
| • | size | → via theme() |
| • | stroke | → via theme() |
Learn more about setting these aesthetics in vignette("ggplot2-specs").
Examples
x <- seq(-pi, pi, length.out = 150)
y <- outer(x, 1:5, FUN = \(x, y) sin(x * y))
df1 <- data.frame(
x = x,
y = rowSums(y)
)
# not terribly useful on its own ...
p <- ggplot(df1, aes(x = x, y = y))
p + geom_pointless()
p + geom_pointless(location = "all")
# ... but in conjunction with geom_line(), hopefully
p <- p + geom_line()
p + geom_pointless(location = "all")
p + geom_pointless(location = c("first", "last"))
p + geom_pointless(location = c("minimum", "maximum"))
# The layer computes one additional variable, 'location',
# that you can map e.g. to colour
p + geom_pointless(
aes(colour = after_stat(location)),
location = "all",
size = 3
)
# Example with missing first and last observations
set.seed(42)
df2 <- data.frame(x = 1:10, y = c(NA, sample(1:8), NA))
ggplot(df2, aes(x, y)) +
geom_line() +
geom_pointless(location = c("first", "last"))
#> Warning: Removed 2 rows containing non-finite outside the scale range
#> (`stat_pointless()`).
#> Warning: Removed 2 rows containing missing values or values outside the scale range
#> (`geom_line()`).
# Change the order in which points are drawn when they overlap
df3 <- data.frame(x = 1:2, y = 1:2)
p <- ggplot(df3, aes(x = x, y = y)) +
geom_path() +
coord_equal()
# same as location = 'all'
p + geom_pointless(aes(colour = after_stat(location)),
location = c("first", "last", "minimum", "maximum")
) +
labs(subtitle = "same as location = 'all'")
# reversed custom order
p + geom_pointless(aes(colour = after_stat(location)),
location = c("maximum", "minimum", "last", "first")
) +
labs(subtitle = "custom order")
# same as location = 'all' again
p + geom_pointless(aes(colour = after_stat(location)),
location = c("maximum", "minimum", "last", "first", "all")
) +
labs(subtitle = "same as location = 'all' again")
# Use stat_pointless() with a geom other than "point"
set.seed(42)
df4 <- data.frame(x = 1:10, y = sample(1:10))
ggplot(df4, aes(x, y)) +
geom_line() +
geom_pointless(location = c("maximum", "minimum"), size = 3) +
stat_pointless(
aes(label = after_stat(y)),
location = c("maximum", "minimum"),
geom = "text",
hjust = -1
)
# Example using facets
# https://stackoverflow.com/q/29375169
p <- ggplot(economics_long, aes(x = date, y = value)) +
geom_line() +
facet_wrap(vars(variable), ncol = 1, scales = "free_y")
p + geom_pointless(
aes(colour = after_stat(location)),
location = c("minimum", "maximum"),
size = 2
)