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scatter.smooth {stats}

Scatter Plot with Smooth Curve Fitted by Loess
Package: 
stats
Version: 
R 2.15.3

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, prediction$y, na.rm = TRUE),
    evaluation = 50, ...)

loess.smooth(x, y, span = 2/3, degree = 1,
    family = c("symmetric", "gaussian"), evaluation = 50, ...)

Arguments

x, y
the x and y arguments provide the x and y coordinates for the plot. Any reasonable way of defining the coordinates is acceptable. See the function xy.coords for details.
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.
...
For scatter.smooth, graphical parameters. For loess.smooth, control parameters passed to loess.control.

Details

loess.smooth is an auxiliary function which evaluates the loess smooth at evaluation equally spaced points covering the range of x.

Values

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))

Documentation reproduced from R 2.15.3. License: GPL-2.