Add a lowess smoother without counfidence bands.

Description

Automatically selects iter=0 for lowess if y is binary, otherwise uses iter=3.

Usage

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stat_plsmo(mapping = NULL, data = NULL, geom = "smooth",
  position = "identity", n = 80, fullrange = FALSE, span = 2/3,
  fun=function(x) x, na.rm = FALSE, show.legend=NA, inherit.aes=TRUE, ...)

Arguments

mapping,data,geom,position

see ggplot

n

number of points to evaluate smoother at

fullrange

should the fit span the full range of the plot, or just the data

span

see f argument to lowess

fun

a function to transform smoothed y

na.rm

If FALSE (the default), removes missing values with a warning. If TRUE silently removes missing values.

show.legend,inherit.aes

see ggplot2

...

other arguments are passed to smoothing function

Value

a data.frame with additional columns

y

predicted value

See Also

lowess for loess smoother, and histSpikeg

Examples

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c <- ggplot(mtcars, aes(qsec, wt))
c + stat_plsmo()
c + stat_plsmo() + geom_point()

c + stat_plsmo(span = 0.1) + geom_point()

# Smoothers for subsets
c <- ggplot(mtcars, aes(y=wt, x=mpg)) + facet_grid(. ~ cyl)
c + stat_plsmo() + geom_point()
c + stat_plsmo(fullrange = TRUE) + geom_point()

# Geoms and stats are automatically split by aesthetics that are factors
c <- ggplot(mtcars, aes(y=wt, x=mpg, colour=factor(cyl)))
c + stat_plsmo() + geom_point()
c + stat_plsmo(aes(fill = factor(cyl))) + geom_point()
c + stat_plsmo(fullrange=TRUE) + geom_point()


# Example with logistic regression
data("kyphosis", package="rpart")
qplot(Age, as.numeric(Kyphosis) - 1, data = kyphosis) + stat_plsmo()

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