mask: Mask spectra

Description

Returning and setting mask of spectra in Speclib. interpolate.mask linearly interpolates masked parts in spectra.

Usage

"mask"(object)
"mask"(object) <- value
"mask"(object) <- value
"mask"(object) <- value
## Linear interpolation of masked parts
interpolate.mask(object)

Arguments

object

Object of class Speclib.

value

Numeric vector, data frame or list giving the mask boundaries in wavelength units. See details section.

Value

For mask<-, the updated object. Otherwise a data frame giving the mask boundaries.interpolate.mask returns a new object of class Speclib.

Details

Value may be an object of class vector, data frame or list. Data frames must contain 2 columns with the first column giving the lower and the second the upper boundary values of the mask. List must have two items consisting of vectors of length = 2. The first entry is used as lower and the second as upper boundary values. Vectors must contain corresponding lower and upper boundary values consecutively. Interpolation of masked parts is mainly intended for internal use. Interpolation is only possible if mask does not exceed spectral range of Speclib.

Examples

Run this code

data(spectral_data)

mask(spectral_data) ## NULL


## Mask from vector
spectral_data_ve <- spectral_data
mask(spectral_data_ve) <- c(1040,1060,1300,1450)
mask(spectral_data_ve)


## Mask from data frame
spectral_data_df <- spectral_data
mask(spectral_data_df) <- data.frame(lb=c(1040,1300),ub=c(1060,1450))
mask(spectral_data_df)


## Mask from list
spectral_data_li <- spectral_data
mask(spectral_data_li) <- list(lb=c(1040,1300),ub=c(1060,1450))
mask(spectral_data_li)

## Linear interpolation
plot(spectral_data)
plot(interpolate.mask(spectral_data_li), new=FALSE)