An interval represented by a vertical line.

Usage

geom_linerange(mapping = NULL, data = NULL, stat = "identity", position = "identity", 
  ...)

Arguments

mapping

The aesthetic mapping, usually constructed with aes or aes_string. Only needs to be set at the layer level if you are overriding the plot defaults.

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 layer. This can include aesthetics whose values you want to set, not map. See layer for more details.

Examples

# 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")

Mapping a variable to y and also using stat="bin".
  With stat="bin", it will attempt to set the y value to the count of cases in each group.
  This can result in unexpected behavior and will not be allowed in a future version of ggplot2.
  If you want y to represent counts of cases, use stat="bin" and don't map a variable to y.
  If you want y to represent values in the data, use stat="identity".
  See ?geom_bar for examples. (Deprecated; last used in version 0.9.2)


# 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()

See also