geom_crossbar(mapping = NULL, data = NULL, stat = "identity", position = "identity", fatten = 2.5, show.legend = NA, inherit.aes = TRUE, ...)geom_errorbar(mapping = NULL, data = NULL, stat = "identity", position = "identity", show.legend = NA, inherit.aes = TRUE, ...)geom_linerange(mapping = NULL, data = NULL, stat = "identity", position = "identity", show.legend = NA, inherit.aes = TRUE, ...)geom_pointrange(mapping = NULL, data = NULL, stat = "identity", position = "identity", show.legend = NA, inherit.aes = TRUE, fatten = 4, ...)
aes
or
aes_
. If specified and inherit.aes = TRUE
(the
default), is combined with the default mapping at the top level of the
plot. You only need to supply mapping
if there isn't a mapping
defined for the plot.geom_crossbar()
and the middle point in
geom_pointrange()
.NA
, the default, includes if any aesthetics are mapped.
FALSE
never includes, and TRUE
always includes.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
.layer
. There are
three types of arguments you can use here:
color = "red"
or size = 3
.
stat
associated with the layer.
Various ways of representing a vertical interval defined by x
,
ymin
and ymax
.
geom_linerange
understands the following aesthetics (required aesthetics are in bold):
x
ymax
ymin
alpha
colour
linetype
size
#' # 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_bar(position = "dodge", stat = "identity") + 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_bar(position = dodge, stat = "identity") + geom_errorbar(aes(ymin = lower, ymax = upper), position = dodge, width = 0.25)