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Generate Example LIBS Dataset

Source: R/simulate.R
ls_example_data.Rd

Creates a synthetic libs_dataset suitable for demonstrating package features. Scenarios:

Usage

ls_example_data(
  scenario = c("tissue", "calibration", "spatial", "all"),
  seed = 42,
  n_channels = 1024
)

Arguments

scenario

Character. One of "tissue", "calibration", "spatial", "all". Default "tissue".

seed

Integer. Random seed. Default 42.

n_channels

Integer. Number of spectral channels. Default 1024 (reduced from 2048 for faster examples).

Value

A libs_dataset object (or named list for "all").

Details

  • "tissue" — 50 spectra from 5 tissue types (bone, liver, kidney, muscle, fat), 10 per type, with tissue-typical elemental signatures.

  • "calibration" — 27 spectra of Ca standards (9 concentrations x 3 replicates) with constant matrix (Na, K, Mg).

  • "spatial" — 400 spectra on a 20x20 grid simulating a tissue cross-section with Ca/Fe gradients and a Zn-enriched hotspot.

  • "all" — named list of the above.

Examples

ds <- ls_example_data("tissue")
print(ds)
#> <libs_dataset>
#> • Spectra: 50
#> • Channels: 1024
#> • Range: 200-900 nm
#> • Groups: 5 (material)