eilers_peeters_generate_regression_ETR_I: Eilers-Peeters Regression for ETR I

In pam: Fast and Efficient Processing of PAM Data

Eilers-Peeters Regression for ETR I

Description

Fits a regression model for ETR I based on Eilers-Peeters (1988), considering photoinhibition.

Usage

eilers_peeters_generate_regression_ETR_I(
  data,
  a_start_value = eilers_peeters_default_start_value_a,
  b_start_value = eilers_peeters_default_start_value_b,
  c_start_value = eilers_peeters_default_start_value_c
)

Arguments

data	A data.table from read function (e.g.read_dual_pam_data).
a_start_value	Numeric. Starting value for a. Default: a_start_values_eilers_peeters_default.
b_start_value	Numeric. Starting value for b. Default: b_start_values_eilers_peeters_default.
c_start_value	Numeric. Starting value for c. Default: c_start_values_eilers_peeters_default.

Details

A detailed documentation can be found under https://github.com/biotoolbox/pam/tree/main#functions.

Value

A list containing:

• etr_regression_data: Predicted ETR values.

• 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, b, c: Fitted parameters.

• pm: Maximum ETR (p_m).

• s: Initial slope (s).

• ik: Transition point from light limitation to light saturation (I_k).

• im: PAR at maximum ETR (I_m).

• w: Peak sharpness (w).

References

Eilers, P. H. C., & Peeters, J. C. H. (1988). A model for the relationship between light intensity and the rate of photosynthesis in phytoplankton. Ecological Modelling, 42(3-4), 199-215. Available at: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/0304-3800(88)90057-9")}

Examples

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

result <- eilers_peeters_generate_regression_ETR_I(data)

pam documentation built on April 30, 2026, 5:06 p.m.