| scatter.smooth {stats} | R Documentation |
Plot and add a smooth curve computed by loess to a scatter plot.
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, ...)
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. |
... |
graphical parameters. |
loess.smooth is an auxiliary function which evaluates the
loess smooth at evaluation equally spaced points
covering the range of x.
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).
attach(cars) scatter.smooth(speed, dist) detach()