Last chance! 50% off unlimited learning
Sale ends in
Text geoms are useful for labeling plots. They can be used by themselves as
scatterplots or in combination with other geoms, for example, for labeling
points or for annotating the height of bars. geom_text() adds only text
to the plot. geom_label() draws a rectangle behind the text, making it
easier to read.
geom_label(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
parse = FALSE,
nudge_x = 0,
nudge_y = 0,
label.padding = unit(0.25, "lines"),
label.r = unit(0.15, "lines"),
label.size = 0.25,
size.unit = "mm",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)geom_text(
mapping = NULL,
data = NULL,
stat = "identity",
position = "identity",
...,
parse = FALSE,
nudge_x = 0,
nudge_y = 0,
check_overlap = FALSE,
size.unit = "mm",
na.rm = FALSE,
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".
For more information and other ways to specify the stat, see the layer stat documentation.
A position adjustment to use on the data for this layer.
Cannot be jointy specified with nudge_x or nudge_y. 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().
A string nameing 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".
For more information and other ways to specify the position, see the layer position documentation.
Other arguments passed on to layer()'s params argument. These
arguments broadly fall into one of 4 categories below. Notably, further
arguments to the position argument, 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"
or linewidth = 3. The geom's documentation has an Aesthetics
section that lists the available options. The 'required' aesthetics
cannot be passed on to the params. 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 the geom part of the layer. An example of this is
stat_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 the stat part of the layer. An example of this is
geom_area(stat = "density", adjust = 0.5). The stat's documentation
lists which parameters it can accept.
The key_glyph argument of layer() 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.
If TRUE, the labels will be parsed into expressions and
displayed as described in ?plotmath.
Horizontal and vertical adjustment to nudge labels by.
Useful for offsetting text from points, particularly on discrete scales.
Cannot be jointly specified with position.
Amount of padding around label. Defaults to 0.25 lines.
Radius of rounded corners. Defaults to 0.15 lines.
Size of label border, in mm.
How the size aesthetic is interpreted: as millimetres
("mm", default), points ("pt"), centimetres ("cm"), inches ("in"),
or picas ("pc").
If FALSE, the default, missing values are removed with
a warning. If TRUE, missing values are silently removed.
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.
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().
If TRUE, text that overlaps previous text in the
same layer will not be plotted. check_overlap happens at draw time and in
the order of the data. Therefore data should be arranged by the label
column before calling geom_text(). Note that this argument is not
supported by geom_label().
geom_text() understands the following aesthetics (required aesthetics are in bold):
x
y
label
alpha
angle
colour
family
fontface
group
hjust
lineheight
size
vjust
Learn more about setting these aesthetics in vignette("ggplot2-specs").
Currently geom_label() does not support the check_overlap argument. Also,
it is considerably slower than geom_text(). The fill aesthetic controls
the background colour of the label.
You can modify text alignment with the vjust and hjust
aesthetics. These can either be a number between 0 (right/bottom) and
1 (top/left) or a character ("left", "middle", "right", "bottom",
"center", "top"). There are two special alignments: "inward" and
"outward". Inward always aligns text towards the center, and outward
aligns it away from the center.
Note that when you resize a plot, text labels stay the same size, even though the size of the plot area changes. This happens because the "width" and "height" of a text element are 0. Obviously, text labels do have height and width, but they are physical units, not data units. For the same reason, stacking and dodging text will not work by default, and axis limits are not automatically expanded to include all text.
geom_text() and geom_label() add labels for each row in the
data, even if coordinates x, y are set to single values in the call
to geom_label() or geom_text().
To add labels at specified points use annotate() with
annotate(geom = "text", ...) or annotate(geom = "label", ...).
To automatically position non-overlapping text labels see the ggrepel package.
The text labels section of the online ggplot2 book.
p <- ggplot(mtcars, aes(wt, mpg, label = rownames(mtcars)))
p + geom_text()
# Avoid overlaps
p + geom_text(check_overlap = TRUE)
# Labels with background
p + geom_label()
# Change size of the label
p + geom_text(size = 10)
# Set aesthetics to fixed value
p +
geom_point() +
geom_text(hjust = 0, nudge_x = 0.05)
p +
geom_point() +
geom_text(vjust = 0, nudge_y = 0.5)
p +
geom_point() +
geom_text(angle = 45)
if (FALSE) {
# Doesn't work on all systems
p +
geom_text(family = "Times New Roman")
}
# Add aesthetic mappings
p + geom_text(aes(colour = factor(cyl)))
p + geom_text(aes(colour = factor(cyl))) +
scale_colour_discrete(l = 40)
p + geom_label(aes(fill = factor(cyl)), colour = "white", fontface = "bold")
p + geom_text(aes(size = wt))
# Scale height of text, rather than sqrt(height)
p +
geom_text(aes(size = wt)) +
scale_radius(range = c(3,6))
# You can display expressions by setting parse = TRUE. The
# details of the display are described in ?plotmath, but note that
# geom_text uses strings, not expressions.
p +
geom_text(
aes(label = paste(wt, "^(", cyl, ")", sep = "")),
parse = TRUE
)
# Add a text annotation
p +
geom_text() +
annotate(
"text", label = "plot mpg vs. wt",
x = 2, y = 15, size = 8, colour = "red"
)
# \donttest{
# Aligning labels and bars --------------------------------------------------
df <- data.frame(
x = factor(c(1, 1, 2, 2)),
y = c(1, 3, 2, 1),
grp = c("a", "b", "a", "b")
)
# ggplot2 doesn't know you want to give the labels the same virtual width
# as the bars:
ggplot(data = df, aes(x, y, group = grp)) +
geom_col(aes(fill = grp), position = "dodge") +
geom_text(aes(label = y), position = "dodge")
# So tell it:
ggplot(data = df, aes(x, y, group = grp)) +
geom_col(aes(fill = grp), position = "dodge") +
geom_text(aes(label = y), position = position_dodge(0.9))
# You can't nudge and dodge text, so instead adjust the y position
ggplot(data = df, aes(x, y, group = grp)) +
geom_col(aes(fill = grp), position = "dodge") +
geom_text(
aes(label = y, y = y + 0.05),
position = position_dodge(0.9),
vjust = 0
)
# To place text in the middle of each bar in a stacked barplot, you
# need to set the vjust parameter of position_stack()
ggplot(data = df, aes(x, y, group = grp)) +
geom_col(aes(fill = grp)) +
geom_text(aes(label = y), position = position_stack(vjust = 0.5))
# Justification -------------------------------------------------------------
df <- data.frame(
x = c(1, 1, 2, 2, 1.5),
y = c(1, 2, 1, 2, 1.5),
text = c("bottom-left", "top-left", "bottom-right", "top-right", "center")
)
ggplot(df, aes(x, y)) +
geom_text(aes(label = text))
ggplot(df, aes(x, y)) +
geom_text(aes(label = text), vjust = "inward", hjust = "inward")
# }
Run the code above in your browser using DataLab