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Various ways of representing a vertical interval defined by x
,
ymin
and ymax
. Each case draws a single graphical object.
geom_crossbar(mapping = NULL, data = NULL, stat = "identity",
position = "identity", ..., fatten = 2.5, na.rm = FALSE,
show.legend = NA, inherit.aes = TRUE)geom_errorbar(mapping = NULL, data = NULL, stat = "identity",
position = "identity", ..., na.rm = FALSE, show.legend = NA,
inherit.aes = TRUE)
geom_linerange(mapping = NULL, data = NULL, stat = "identity",
position = "identity", ..., na.rm = FALSE, show.legend = NA,
inherit.aes = TRUE)
geom_pointrange(mapping = NULL, data = NULL, stat = "identity",
position = "identity", ..., fatten = 4, na.rm = FALSE,
show.legend = NA, inherit.aes = TRUE)
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.
The statistical transformation to use on the data for this layer, as a string.
Position adjustment, either as a string, or the result of a call to a position adjustment function.
Other arguments passed on to layer()
. These are
often aesthetics, used to set an aesthetic to a fixed value, like
colour = "red"
or size = 3
. They may also be parameters
to the paired geom/stat.
A multiplicative factor used to increase the size of the
middle bar in geom_crossbar()
and the middle point in
geom_pointrange()
.
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()
.
geom_linerange()
understands the following aesthetics (required aesthetics are in bold):
x
ymin
ymax
alpha
colour
group
linetype
size
Learn more about setting these aesthetics in vignette("ggplot2-specs")
.
stat_summary()
for examples of these guys in use,
geom_smooth()
for continuous analogue,
geom_errorbarh()
for a horizontal error bar.
# NOT RUN {
#' # Create a simple example dataset
df <- data.frame(
trt = factor(c(1, 1, 2, 2)),
resp = c(1, 5, 3, 4),
group = factor(c(1, 2, 1, 2)),
upper = c(1.1, 5.3, 3.3, 4.2),
lower = c(0.8, 4.6, 2.4, 3.6)
)
p <- ggplot(df, aes(trt, resp, colour = group))
p + geom_linerange(aes(ymin = lower, ymax = upper))
p + geom_pointrange(aes(ymin = lower, ymax = upper))
p + geom_crossbar(aes(ymin = lower, ymax = upper), width = 0.2)
p + geom_errorbar(aes(ymin = lower, ymax = upper), width = 0.2)
# Draw lines connecting group means
p +
geom_line(aes(group = group)) +
geom_errorbar(aes(ymin = lower, ymax = upper), width = 0.2)
# If you want to dodge bars and errorbars, you need to manually
# specify the dodge width
p <- ggplot(df, aes(trt, resp, fill = group))
p +
geom_col(position = "dodge") +
geom_errorbar(aes(ymin = lower, ymax = upper), position = "dodge", width = 0.25)
# Because the bars and errorbars have different widths
# we need to specify how wide the objects we are dodging are
dodge <- position_dodge(width=0.9)
p +
geom_col(position = dodge) +
geom_errorbar(aes(ymin = lower, ymax = upper), position = dodge, width = 0.25)
# When using geom_errorbar() with position_dodge2(), extra padding will be
# needed between the error bars to keep them aligned with the bars.
p +
geom_col(position = "dodge2") +
geom_errorbar(
aes(ymin = lower, ymax = upper),
position = position_dodge2(width = 0.5, padding = 0.5)
)
# }
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