Bivariate time series plots: scatterplots, directed lines
and kernel density estimations using functions in the
sm package.
Usage
autopairs(x, lag = 1, h,
type = c("levels", "persp", "image", "lines", "points", "regression"))
Arguments
x
time series
lag
time lag
h
kernel window (useful only for kernel
estimations)
type
type of plot: contour levels, perspective
plots, image, directed lines, points or points with
superposed kernel regression
Value
None. Plots are produced on the default graphical device.
Details
Bivariate time series plots: scatterplots, directed lines
and kernel density and regression functions estimations
using functions in the package sm. In particular,
for kernel density estimation
sm.density is used, with smoothing
parameter h defaulting to hnorm.
For kernel regression, sm.regression is
used.
See Also
For finer control on density estimation, consider using
directly sm.density and, especially,
sm.ts.pdf from package sm.