geom_smooth {ggplot2}R Documentation

geom\_smooth

Description

Add a smoothed condition mean.

Usage

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

Arguments

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

Details

This page describes geom\_smooth, see layer and qplot for how to create a complete plot from individual components.

Value

A layer

Aesthetics

The following aesthetics can be used with geom\_smooth. Aesthetics are mapped to variables in the data with the aes function: geom\_smooth(aes(x = var))

Author(s)

Hadley Wickham, http://had.co.nz/

See Also

Examples

## Not run: 
# 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") 

## End(Not run)

[Package ggplot2 version 0.8.9 Index]