geom_smooth

From ggplot2 v0.9.3.1 by Hadley Wickham

Add a smoothed conditional mean.

Usage

geom_smooth(mapping = NULL, data = NULL, stat = "smooth",
    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.

Aesthetics

[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "smooth")} # See stat_smooth for examples of using built in model fitting # if you need some more flexible, this example shows you how to # plot the fits from any model of your choosing qplot(wt, mpg, data=mtcars, colour=factor(cyl))

model <- lm(mpg ~ wt + factor(cyl), data=mtcars) grid <- with(mtcars, expand.grid( wt = seq(min(wt), max(wt), length = 20), cyl = levels(factor(cyl)) ))

grid$mpg <- stats::predict(model, newdata=grid)

qplot(wt, mpg, data=mtcars, colour=factor(cyl)) + geom_line(data=grid)

# or with standard errors

err <- stats::predict(model, newdata=grid, se = TRUE) grid$ucl <- err$fit + 1.96 * err$se.fit grid$lcl <- err$fit - 1.96 * err$se.fit

qplot(wt, mpg, data=mtcars, colour=factor(cyl)) + geom_smooth(aes(ymin = lcl, ymax = ucl), data=grid, stat="identity")

The default stat for this geom is stat_smooth see that documentation for more options to control the underlying statistical transformation.

Documentation reproduced from package ggplot2, version 0.9.3.1, License: GPL-2

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