Preprocesses spectra as for the prediction of a peat property

This function lets you extract the spectra after automated preprocessing for the prediction of a specific peat property. This allows to inspect the preprocessed spectra.

Usage

irp_get_prediction_domain_for(variable, check_prediction_domain = "train")

Arguments

variable

A character vector with one or more values that define for which components contents are computed for the spectra in x. Currently allowed values are:

"all"

irp_content computes all of the values below.

"klason_lignin_content_1"

Klason lignin mass fraction [g/g] as computed by irp_content_klh_hodgkins().

"holocellulose_content_1"

Holocellulose mass fraction [g/g] as computed by irp_content_klh_hodgkins().

"klason_lignin_content_2"

Klason lignin mass fraction [g/g] as computed by irp_klason_lignin_content_2().

"holocellulose_content_2"

Holocellulose mass fraction [g/g] as computed by irp_holocellulose_content_2().

"eac_1"

Electron accepting capacity as computed by irp_eac_1().

"edc_1"

Electron donating capacity as computed by irp_edc_1().

"carbon_content_1"

Carbon content as computed by irp_carbon_content_1().

"nitrogen_content_1"

Nitrogen content as computed by irp_nitrogen_content_1().

"hydrogen_content_1"

Hydrogen content as computed by irp_hydrogen_content_1().

"oxygen_content_1"

Oxygen content as computed by irp_oxygen_content_1().

"phosphorus_content_1"

Phosphorus content as computed by irp_phosphorus_content_1().

"potassium_content_1"

Potassium content as computed by irp_potassium_content_1().

"sulfur_content_1"

Sulfur content as computed by irp_sulfur_content_1().

"titanium_content_1"

Titanium content as computed by irp_titanium_content_1().

"silicon_content_1"

Silicon content as computed by irp_silicon_content_1().

"calcium_content_1"

Calcium content as computed by irp_calcium_content_1().

"d13C_1"

\(\delta^{13}\)C values as computed by irp_d13C_1().

"d15N_1"

\(\delta^{15}\)N values as computed by irp_d15N_1().

"nosc_1"

The nominal oxidation state of carbon as computed by irp_nosc_1().

"dgf0_1"

The standard Gibbs free energy of formation content as computed by irp_dgf0_1().

"bulk_density_1"

Bulk density as computed by irp_bulk_density_1().

"loss_on_ignition_1"

Loss on ignition as computed by irp_loss_on_ignition_1().

"O_to_C_1"

O/C ratio as computed by irp_O_to_C_1().

"H_to_C_1"

H/C ratio as computed by irp_H_to_C_1().

"C_to_N_1"

C/N ratio as computed by irp_C_to_N_1().

"volume_fraction_solids_1"

Volume fraction of solids as computed by irp_volume_fraction_solids_1().

"non_macroporosity_1"

Non-macroporosity as computed by irp_non_macroporosity_1().

"macroporosity_1"

Macroporosity as computed by irp_macroporosity_1().

"saturated_hydraulic_conductivity_1"

Saturated hydraulic conductivity as computed by irp_saturated_hydraulic_conductivity_1().

"specific_heat_capacity_1"

Specific heat capacity as computed by irp_specific_heat_capacity_1().

"dry_thermal_conductivity_1"

Dry thermal conductivity as computed by irp_dry_thermal_conductivity_1().

"microbial_nitrogen_content_1"

Microbial nitrogen content as computed by irp_microbial_nitrogen_content_1().

"degree_of_decomposition_1"

Degree of decomposition as computed by irp_degree_of_decomposition_1().

"degree_of_decomposition_2"

Degree of decomposition as computed by irp_degree_of_decomposition_2().

"degree_of_decomposition_3"

Degree of decomposition as computed by irp_degree_of_decomposition_3().

check_prediction_domain

A character value indicating if and how it should be checked whether the spectra in x are within the prediction domain of the model. One of:

"train"

It is checked whether the spectra in x are within the prediction domain formed by the training data for the model.

"test"

It is checked whether the spectra in x are within the prediction domain formed by the testing data for the model.

"none"

It is not checked whether the spectra in x are within the prediction domain for the model.

Value

An object of class irp_prediction_domain with the specified prediction domain for the selected variable.

Examples

library(ir)

irp_get_prediction_domain_for(
   variable = "carbon_content_1"
) |>
  plot()


irp_get_prediction_domain_for(
   variable = "klason_lignin_content_1"
) |>
  plot()


irp_get_prediction_domain_for(
   variable = "klason_lignin_content_2"
) |>
  plot()


irp_get_prediction_domain_for(
   variable = "eac_1"
) |>
  plot()