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()