| geom_linerange {ggplot2} | R Documentation |
An interval represented by a vertical line
geom_linerange(mapping=NULL, data=NULL, stat="identity", position="identity", ...)
mapping |
mapping between variables and aesthetics generated by aes |
data |
dataset used in this layer, if not specified uses plot dataset |
stat |
statistic used by this layer |
position |
position adjustment used by this layer |
... |
ignored |
This page describes geom_linerange, see layer and qplot for how to create a complete plot from individual components.
A layer
The following aesthetics can be used with geom_linerange. Aesthetics are mapped to variables in the data with the aes function: geom\_linerange(\code{aes}(x = var))
x: x position (required)
ymin: minimum of interval (required)
ymax: maximum of interval (required)
colour: border colour
size: size
linetype: line type
Hadley Wickham, http://had.co.nz/
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
## Not run:
# 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=T)[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(x = cut, ymin=fit - se.fit, ymax=fit + se.fit, y=fit))
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()
## End(Not run)