File: geom_smooth.rd

package info (click to toggle)
r-cran-ggplot2 0.8.9-1
  • links: PTS, VCS
  • area: main
  • in suites: wheezy
  • size: 4,084 kB
  • sloc: makefile: 3
file content (61 lines) | stat: -rw-r--r-- 2,201 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
\name{geom_smooth}
\alias{geom_smooth}
\alias{GeomSmooth}
\title{geom\_smooth}
\description{Add a smoothed condition mean.}
\details{
This page describes geom\_smooth, see \code{\link{layer}} and \code{\link{qplot}} for how to create a complete plot from individual components.
}
\section{Aesthetics}{
The following aesthetics can be used with geom\_smooth.  Aesthetics are mapped to variables in the data with the aes function: \code{geom\_smooth(aes(x = var))}
\itemize{
  \item \code{x}: x position (\strong{required}) 
  \item \code{y}: y position (\strong{required}) 
  \item \code{colour}: border colour 
  \item \code{fill}: internal colour 
  \item \code{size}: size 
  \item \code{linetype}: line type 
  \item \code{weight}: observation weight used in statistical transformation 
  \item \code{alpha}: transparency 
}
}
\usage{geom_smooth(mapping = NULL, data = NULL, stat = "smooth", position = "identity", 
    ...)}
\arguments{
 \item{mapping}{mapping between variables and aesthetics generated by aes}
 \item{data}{dataset used in this layer, if not specified uses plot dataset}
 \item{stat}{statistic used by this layer}
 \item{position}{position adjustment used by this layer}
 \item{...}{ignored }
}
\seealso{\itemize{
  \item \url{http://had.co.nz/ggplot2/geom_smooth.html}
}}
\value{A \code{\link{layer}}}
\examples{\dontrun{
# 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") 
}}
\author{Hadley Wickham, \url{http://had.co.nz/}}
\keyword{hplot}