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proximetricsR (version 0.6.5)

proximetricsR-package: Overview of the proximetricsR package

Description

NIR calibration and application tools for BUCHI ProxiMate and ProxiScout devices. logo

Arguments

Author

Leonardo Ramirez-Lopez, Claudio Orellano, Nicolae Cudlenco, Mai Said, Mohamed Abushosha, Marcal Plans

Details

This is package version 0.6.5 (Matterhorn).

This package provides R functions for spectral pre-processing, NIR model calibration, and reading/writing files for BUCHI ProxiMate and ProxiScout devices. The calibration algorithms (fit_plsr, fit_xlsr) and the pre-treatment constructors (prep_smooth, prep_snv, prep_resample, prep_derivative) reproduce the corresponding algorithms in BUCHI NIRWise PLUS (version 1.1.3000.0), guaranteeing numerical compatibility between models built with this package and those built in NIRWise PLUS.

The ProxiScout functions for preprocessing are also numerically equivalent to the ones of the "BUCHI Modeller" software. The regression method in te Modeller is teh classical PLS regression, however, the other PLS algorithms implemented in proximetricsR (modified PLS, standard PLS, and XLS) can also be used to generate models for ProxiScout devices.

The functions available for ProxiMate spectral data are:

  • proximate_read_data

  • proximate_data

  • proximate_merge

The functions available for reading generic spectral data files are:

  • read_spc

The functions available for spectral pre-processing are:

  • prep_resample

  • prep_smooth

  • prep_snv

  • prep_derivative

  • prep_detrend

  • prep_transform

  • prep_wav_trim

  • preprocess_recipe

  • process

The functions available for calibrating NIR regression models are:

  • calibrate

  • calibrate_models

  • calibration_control

  • fit_plsr

  • fit_xlsr

  • add_model_metadata

  • validate_prediction

The functions available for writing ProxiMate files are:

  • proximate_write_data

  • proximate_write_model

  • add_application_metadata

  • proximate_write_nax

The functions available for reading and editing ProxiMate application files are:

  • proximate_read_cal

  • proximate_read_nax

  • proximate_recalibrate_nax

  • proximate_add2nax

The functions available for ProxiScout devices are:

  • proxiscout_read_data

  • proxiscout_write_data

  • proxiscout_write_model

  • get_proxiscout_wavenumbers

  • proxiscout_repetition_pattern

The functions available for creating plots are:

  • plot.spectral_model

Other functions:

  • extract_property_names

A typical example dataset for a ProxiMate device can be found in:

  • NIRcannabis

See Also

Useful links: