scatter.smooth {stats} | 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 = NULL, span = 2/3, degree = 1,
family = c("symmetric", "gaussian"),
xlab = NULL, ylab = NULL,
ylim = range(y, pred$y, na.rm = TRUE),
evaluation = 50, ..., lpars = list())
loess.smooth(x, y, span = 2/3, degree = 1,
family = c("symmetric", "gaussian"), evaluation = 50, ...)
```

### Arguments

`x` , `y` |
the |

`span` |
smoothness parameter for |

`degree` |
degree of local polynomial used. |

`family` |
if |

`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. |

`...` |
For |

`lpars` |

### Details

`loess.smooth`

is an auxiliary function which evaluates the
`loess`

smooth at `evaluation`

equally spaced points
covering the range of `x`

.

### Value

For `scatter.smooth`

, none.

For `loess.smooth`

, a list with two components, `x`

(the
grid of evaluation points) and `y`

(the smoothed values at the
grid points).

### See Also

`loess`

; `smoothScatter`

for scatter plots
with smoothed *density* color representation.

### Examples

```
require(graphics)
with(cars, scatter.smooth(speed, dist))
## or with dotted thick smoothed line results :
with(cars, scatter.smooth(speed, dist, lpars =
list(col = "red", lwd = 3, lty = 3)))
```

*stats*version 4.4.0 Index]