# Bivariate time series plots

### Description

Bivariate time series plots: scatterplots, directed lines and kernel density estimations using functions in the sm package.

### Usage

1 2 |

### 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 |

### 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.

### Value

None. Plots are produced on the default graphical device.

### Author(s)

Wrappers to sm by Antonio, Fabio Di Narzo

### See Also

For finer control on density estimation, consider using directly
`sm.density`

and, especially, `sm.ts.pdf`

from package sm.

### Examples

1 2 |

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