plot.spectrum: Line Plot Of A Spectrum
In oczoske/slacR: R-package to measure v and sigma from VIMOS IFU cubes

Description Usage Arguments Details Author(s) See Also Examples

Plots a spectrum (i.e. a dataframe with entries lambda and value or contsub). This is a convenience wrapper for plot.default which selects the correct columns automatically and defaults to type='l'.

## S3 method for class 'spectrum'
plot(x, add = FALSE, offset = 0, scale = 1,
              norm = FALSE, noise = FALSE, contsub = FALSE,
              contdiv = FALSE, mask=FALSE, ...)

`x`	a `"spectrum"` object containing the components `lambda` and `value` and possibly `noise` or `contsub`
`add`	add the spectrum to an existing plot
`scale`	multiply the spectrum values by this number
`offset`	add a constant offset to the (scaled) spectrum
`norm`	Normalize the spectrum to either a mean value of unity (default) or standard deviation of unity (if uning `contsub`
`noise`	if `TRUE` then plot the noise spectrum
`contsub`	if `TRUE` then plot the continuum subtracted spectrum
`contdiv`	if `TRUE` then plot the continuum divided spectrum
`mask`	if not `FALSE`, then mark all masked points in the spectrum in magenta. The mask is typically contained in the `spectrum` `x`. Otherwise, `mask` can be any format accepted by `convert.mask`
`...`	Further graphical parameters (see 'par') may also be supplied as arguments.

The spectrum can be scaled, offset or normalized. The normalization is the mean of the spectrum value, except if the continuum subtracted spectrum, when the standard deviation of that is used.

Oliver Czoske

plot, lines, par

spectrum <- data.frame(lambda=seq(3800, 6500, length=500),
value=rnorm(500), name="A random noise spectrum")

plot.spectrum(spectrum, ylim=c(-3, 5))
plot.spectrum(spectrum, add=TRUE, offset=1)