plot.lspec: Lspec: logspline estimation of a spectral distribution

In polspline: Polynomial Spline Routines

Lspec: logspline estimation of a spectral distribution

Description

Plots a spectral density function, line spectrum, or spectral distribution from a model fitted with lspec

Usage

## S3 method for class 'lspec'
plot(x, what = "b", n, add = FALSE, xlim, ylim, xlab = "", ylab = "",
type, ...) 

Arguments

x	lspec object, typically the result of lspec.
what	what should be plotted: b (spectral density and line spectrum superimposed), d (spectral density function), l (line spectrum) or p (spectral distribution function).
n	the number of equally spaced points at which to plot the fit; default is max(100,fit\$sample).
add	indicate that the plot should be added to an existing plot.
xlim	X-axis plotting limits: default is c(0,\pi), except when what = "p", when the default is c(-\pi,\pi).
ylim	Y-axis plotting limits.
xlab,ylab	axis labels.
type	plotting type; default is "l" when what = "d" and what = "p", "h" when what = "l", and a combination of "h" and "l" when what ="b"
...	all regular plotting options are passed on.

Note

If what = "p" the plotting range cannot extend beyond the interval [-\pi,\pi].

Author(s)

Charles Kooperberg [e-mail].

References

Charles Kooperberg, Charles J. Stone, and Young K. Truong (1995). Logspline Estimation of a Possibly Mixed Spectral Distribution. Journal of Time Series Analysis, 16, 359-388.

Charles J. Stone, Mark Hansen, Charles Kooperberg, and Young K. Truong. The use of polynomial splines and their tensor products in extended linear modeling (with discussion) (1997). Annals of Statistics, 25, 1371–1470.

See Also

lspec, summary.lspec, clspec, dlspec, plspec, rlspec.

Examples

data(co2)
co2.detrend <- lm(co2~c(1:length(co2)))$residuals
fit <- lspec(co2.detrend)
plot(fit)

polspline documentation built on Oct. 27, 2023, 1:07 a.m.