Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with HTTPS or Subversion.

Download ZIP
Fetching contributors…

Cannot retrieve contributors at this time

67 lines (52 sloc) 2.183 kb
GeomSmooth <- proto(Geom, {
draw <- function(., data, scales, coordinates, ...) {
data$fill <- alpha(data$fill, data$alpha)
gList(
tryNULL(GeomRibbon$draw(transform(data, colour=NA), scales, coordinates)),
GeomPath$draw(rename(data, c(middle = "y")), scales, coordinates)
)
}
objname <- "smooth"
desc <- "Add a smoothed condition mean."
icon <- function(.) {
gTree(children=gList(
polygonGrob(c(0, 0.3, 0.5, 0.8, 1, 1, 0.8, 0.5, 0.3, 0), c(0.5, 0.3, 0.4, 0.2, 0.3, 0.7, 0.5, 0.6, 0.5, 0.7), gp=gpar(fill="grey60", col=NA)),
linesGrob(c(0, 0.3, 0.5, 0.8, 1), c(0.6, 0.4, 0.5, 0.4, 0.6))
))
}
guide_geom <- function(.) "smooth"
default_stat <- function(.) StatSmooth
required_aes <- c("x", "y")
default_aes <- function(.) aes(colour="#3366FF", fill="grey60", size=0.5, linetype=1, weight=1, alpha=0.4)
draw_legend <- function(., data, params, ...) {
data <- aesdefaults(data, .$default_aes(), list(...))
data$fill <- alpha(data$fill, data$alpha)
if (is.null(params$se) || params$se) {
gTree(children = gList(
rectGrob(gp = gpar(col = NA, fill = data$fill)),
GeomPath$draw_legend(data, ...)
))
} else {
GeomPath$draw_legend(data, ...)
}
}
examples <- function(.) {
# 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
library(ggplot2)
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(min=lcl, max=ucl), data=grid, stat="identity")
}
})
Jump to Line
Something went wrong with that request. Please try again.