stat_plsmo {Hmisc} | R Documentation

## Add a lowess smoother without counfidence bands.

### Description

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

### Usage

    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

    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()

[Package Hmisc version 3.17-4 Index]