Bivariate time series plots
Bivariate time series plots: scatterplots, directed lines and kernel density estimations using functions in the sm package.
autopairs(x, lag = 1, h, type = c("levels", "persp", "image", "lines",
"points", "regression"))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 |
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.
None. Plots are produced on the default graphical device.
Wrappers to sm by Antonio, Fabio Di Narzo
For finer control on density estimation, consider using directly
sm.density and, especially, sm.ts.pdf
from package sm.
x <- log10(lynx) autopairs(x, lag=2, type="lines")
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