| geom_linerange {ggplot2} | R Documentation |
An interval represented by a vertical line.
geom_linerange(mapping = NULL, data = NULL,
stat = "identity", position = "identity", ...)
mapping |
The aesthetic mapping, usually constructed
with |
data |
A layer specific dataset - only needed if you want to override the plot defaults. |
stat |
The statistical transformation to use on the data for this layer. |
position |
The position adjustment to use for overlappling points on this layer |
... |
other arguments passed on to
|
geom_linerange understands the following aesthetics (required aesthetics are in bold):
x
ymax
ymin
alpha
colour
linetype
size
geom_errorbar: error bars;
geom_pointrange: range indicated by
straight line, with point in the middle;
geom_crossbar: hollow bar with middle
indicated by horizontal line; stat_summary:
examples of these guys in use; geom_smooth:
for continuous analog
# Generate data: means and standard errors of means for prices
# for each type of cut
dmod <- lm(price ~ cut, data=diamonds)
cuts <- data.frame(cut=unique(diamonds$cut), predict(dmod, data.frame(cut = unique(diamonds$cut)), se=TRUE)[c("fit","se.fit")])
qplot(cut, fit, data=cuts)
# With a bar chart, we are comparing lengths, so the y-axis is
# automatically extended to include 0
qplot(cut, fit, data=cuts, geom="bar")
# Display estimates and standard errors in various ways
se <- ggplot(cuts, aes(cut, fit,
ymin = fit - se.fit, ymax=fit + se.fit, colour = cut))
se + geom_linerange()
se + geom_pointrange()
se + geom_errorbar(width = 0.5)
se + geom_crossbar(width = 0.5)
# Use coord_flip to flip the x and y axes
se + geom_linerange() + coord_flip()