An interval represented by a vertical line.

An interval represented by a vertical line.

geom_linerange(mapping = NULL, data = NULL,
    stat = "identity", position = "identity", ...)
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.
A layer specific dataset - only needed if you want to override the plot defaults.
The statistical transformation to use on the data for this layer.
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.

[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "linerange")} # 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","")])

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 -, ymax=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()

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

  • geom_linerange
Documentation reproduced from package ggplot2, version, License: GPL-2

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