lightr (version 1.3)

lr_get_metadata: Extract metadata from spectra files

Description

Finds and imports metadata from spectra files in a given location.

Usage

lr_get_metadata(
  where = getwd(),
  ext = "ProcSpec",
  sep = NULL,
  subdir = FALSE,
  subdir.names = FALSE,
  cores = NULL,
  ignore.case = TRUE
)

Arguments

where

Folder in which files are located (defaults to current working directory).

ext

File extension to be searched for, without the "." (defaults to txt). You can also use a character vector to specify multiple file extensions.

sep

Column delimiting characters to be considered in addition to the default (which are: tab, space, and ";")

subdir

Should subdirectories within the where folder be included in the search? (defaults to FALSE).

subdir.names

Should subdirectory path be included in the name of the spectra? (defaults to FALSE).

cores

deprecated. See future::plan() for more details on how to customise your parallelisation strategy.

ignore.case

Should the extension search be case insensitive? (defaults to TRUE)

Value

A data.frame containing one file per row and the following columns:

• name: File name (without the extension)

• user: Name of the spectrometer operator

• date: Timestamp of the recording (ISO 8601 format)

• spec_model: Model of the spectrometer

• spec_ID: Unique ID of the spectrometer

• white_inttime: Integration time of the white reference (in ms)

• dark_inttime: Integration time of the dark reference (in ms)

• sample_inttime: Integration time of the sample (in ms)

• white_avgs: Number of averaged measurements for the white reference

• dark_avgs: Number of averaged measurements for the dark reference

• sample_avgs: Number of averaged measurements for the sample

• white_boxcar: Boxcar width for the white reference

• dark_boxcar: Boxcar width for the dark reference

• sample_boxcar: Boxcar width for the sample reference

Warning

white_inttime, dark_inttime and sample_inttime should be equal. The normalised data may be inaccurate otherwise.

Details

You can customise the type of parallel processing used by this function with the future::plan() function. This works on all operating systems, as well as high performance computing (HPC) environment. Similarly, you can customise the way progress is shown with the progressr::handlers() functions (progress bar, acoustic feedback, nothing, etc.)

References

White TE, Dalrymple RL, Noble DWA, O'Hanlon JC, Zurek DB, Umbers KDL. Reproducible research in the study of biological coloration. Animal Behaviour. 2015 Aug 1;106:51-7 (10.1016/j.anbehav.2015.05.007).

Examples

# NOT RUN {
lr_get_metadata(system.file("testdata", "procspec_files",
                            package = "lightr"),
                ext = "ProcSpec")
# }

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