walsby_modified: Walsby Model Modification

Description

Enhances the Walsby (1997) model by adding parameters from other models and standardizing parameter names.

Usage

walsby_modified(model_result)

Value

A list containing:

etr_type: ETR Type based on the model result.
etr_regression_data: Regression data with ETR predictions based on the fitted model.
residual_sum_of_squares: Difference between observed and predicted ETR values, expressed as the sum of squared residuals.
root_mean_squared_error: Difference between observed and predicted ETR values, expressed as the root mean squared error.
relative_root_mean_squared_error: Difference between observed and predicted ETR values, expressed as the relative root mean squared error, normalized by the mean.
a: Obtained parameter a, equal to etrmax_without_photoinhibition.
b: Obtained parameter b, equal to alpha.
c: Obtained parameter c, equal to beta.
d: Not available, set to NA_real_.
alpha: The initial slope of the light curve, transferred unchanged as alpha.
beta: The photoinhibition of the light curve, transferred unchanged as beta.
etrmax_with_photoinhibition: The maximum electron transport rate with photoinhibition.
etrmax_without_photoinhibition: The maximum electron transport rate without photoinhibition, transferred as etr_max.
ik_with_photoinhibition: PAR where the transition point from light limitation to light saturation is achieved with photoinhibition.
ik_without_photoinhibition: PAR where the transition point from light limitation to light saturation is achieved without photoinhibition.
im_with_photoinhibition: PAR at the maximum ETR with photoinhibition.
w: Not available, set to NA_real_.
ib: Not available, set to NA_real_.
etrmax_with_without_ratio: Ratio of etrmax_with_photoinhibition to etrmax_without_photoinhibition.

Arguments

model_result: A list containing the model result (e.g. from walsby_generate_regression_ETR_II()).

Details

A detailed documentation can be found under https://github.com/biotoolbox/pam?tab=readme-ov-file#walsby_modified

Examples

Run this code

path <- file.path(system.file("extdata", package = "pam"), "20240925.csv")
data <- read_dual_pam_data(path)

result <- walsby_generate_regression_ETR_II(data)
modified_result <- walsby_modified(result)

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