Vertical intervals: lines, crossbars & errorbars.
Various ways of representing a vertical interval defined by x
,
ymin
and ymax
.
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 )
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
stat |
The statistical transformation to use on the data for this layer, as a string. |
position |
Position adjustment, either as a string, or the result of a call to a position adjustment function. |
... |
other arguments passed on to |
fatten |
A multiplicative factor used to increase the size of the
middle bar in |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
geom_linerange
understands the following aesthetics (required aesthetics are in bold):
x
ymax
ymin
alpha
colour
linetype
size
stat_summary
for examples of these guys in use,
geom_smooth
for continuous analog
#' # 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)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.