manage_spec: Manage spectral objects

In OpenSpecy: Analyze, Process, Identify, and Share Raman and (FT)IR Spectra

Manage spectral objects

Description

c_spec() concatenates OpenSpecy objects. sample_spec() samples spectra from an OpenSpecy object. merge_map() merge two OpenSpecy objects from spectral maps.

Usage

c_spec(x, ...)

## Default S3 method:
c_spec(x, ...)

## S3 method for class 'OpenSpecy'
c_spec(x, ...)

## S3 method for class 'list'
c_spec(x, range = "full", res = 6, ...)

sample_spec(x, ...)

## Default S3 method:
sample_spec(x, ...)

## S3 method for class 'OpenSpecy'
sample_spec(x, size = 1, prob = NULL, ...)

merge_map(x, ...)

## Default S3 method:
merge_map(x, ...)

## S3 method for class 'OpenSpecy'
merge_map(x, ...)

## S3 method for class 'list'
merge_map(x, origins = NULL, ...)

Arguments

x	a list of OpenSpecy objects or of file paths.
range	a numeric providing your own wavenumber range, "full" to use the widest range represented by any supplied spectrum, or "common" to use only their overlapping range. NULL requires identical wavenumbers. The default is "full".
res	resolution of the output wavenumbers. The default of 6 is intended for reference-library identification workflows.
size	the number of spectra to sample.
prob	probabilities to use for the sampling.
origins	a list with 2 value vectors of x y coordinates for the offsets of each image.
...	further arguments passed to submethods.

Value

c_spec() and sample_spec() return OpenSpecy objects.

Author(s)

Zacharias Steinmetz, Win Cowger

See Also

conform_spec() for conforming wavenumbers

Examples

# Concatenating spectra
spectra <- lapply(c(read_extdata("raman_hdpe.csv"),
                    read_extdata("ftir_ldpe_soil.asp")), read_any)
full <- c_spec(spectra)
common <- c_spec(spectra, range = "common", res = 6)
range <- c_spec(spectra, range = c(1000, 2000), res = 6)

# Sampling spectra
tiny_map <- read_any(read_extdata("CA_tiny_map.zip"))
sampled <- sample_spec(tiny_map, size = 3)

OpenSpecy documentation built on Oct. 6, 2026, 1:07 a.m.