R: Estimate Spectral Density of a Time Series from AR Fit

spec.ar {stats} | R Documentation

## Estimate Spectral Density of a Time Series from AR Fit

### Description

Fits an AR model to `x` (or uses the existing fit) and computes (and by default plots) the spectral density of the fitted model.

### Usage

    spec.ar(x, n.freq, order = NULL, plot = TRUE, na.action = na.fail,
            method = "yule-walker", ...)

### Arguments

`x` | A univariate (not yet:or multivariate) time series or the result of a fit by `ar`.
`n.freq` | The number of points at which to plot.
`order` | The order of the AR model to be fitted. If omitted, the order is chosen by AIC.
`plot` | Plot the periodogram?
`na.action` | `NA` action function.
`method` | `method` for `ar` fit.
`...` | Graphical arguments passed to `plot.spec`.

### Value

An object of class `"spec"`. The result is returned invisibly if `plot` is true.

### Warning

Some authors, for example Thomson (1990), warn strongly that AR spectra can be misleading.

### Note

The multivariate case is not yet implemented.

### References

Thompson, D.J. (1990) Time series analysis of Holocene climate data. Phil. Trans. Roy. Soc. A 330, 601–616.

Venables, W.N. and Ripley, B.D. (2002) Modern Applied Statistics with S. Fourth edition. Springer. (Especially page 402.)

### See Also

`ar`, `spectrum`.

### Examples

    require(graphics)

    spec.ar(lh)

    spec.ar(ldeaths)
    spec.ar(ldeaths, method="burg")

    spec.ar(log(lynx))
    spec.ar(log(lynx), method="burg", add=TRUE, col="purple")
    spec.ar(log(lynx), method="mle", add=TRUE, col="forest green")
    spec.ar(log(lynx), method="ols", add=TRUE, col="blue")

[Package stats version 2.15.1 Index]