R: Scatter Plot with Smooth Curve Fitted by Loess

scatter.smooth {modreg} | R Documentation

## Scatter Plot with Smooth Curve Fitted by Loess

### Description

Plot and add a smooth curve computed by `loess` to a scatter plot.

### Usage

    scatter.smooth(x, y, span = 2/3, degree = 1,
        family = c("symmetric", "gaussian"),
        xlab = deparse(substitute(x)), ylab = deparse(substitute(y)),
        ylim = range(y, prediction$y), evaluation = 50, ...)
    loess.smooth(x, y, span = 2/3, degree = 1,
        family = c("symmetric", "gaussian"), evaluation=50, ...)

### Arguments

`x` | x coordinates for scatter plot.
`y` | y coordinates for scatter plot.
`span` | smoothness parameter for `loess`.
`degree` | degree of local polynomial used.
`family` | if `"gaussian"` fitting is by least-squares, and if `family="symmetric"` a re-descending M estimator is used.
`xlab` | label for x axis.
`ylab` | label for y axis.
`ylim` | the y limits of the plot.
`evaluation` | number of points at which to evaluate the smooth curve.
`...` | graphical parameters.

### Details

`loess.smooth` is an auxiliary function.

### Value

None.

### Author(s)

B.D. Ripley

### See Also

`loess`

### Examples

    data(cars)
    attach(cars)
    scatter.smooth(speed, dist)
    detach()

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