fit_langmuirLM4 {adsoRptionCMF} | R Documentation |
Langmuir Isotherm Linear (Form 4) Analysis
Description
Performs linear modeling for the Langmuir adsorption isotherm using the linearized form Qe/Ce = bQmax - bQe.
Arguments
Ce |
Numeric vector for equilibrium concentrations |
Qe |
Numeric vector for adsorbed amounts |
verbose |
logical; if TRUE (default), prints summary and messages |
Value
A list containing the results of the linear Langmuir (Form 4) model fitting, including:
-
Parameter estimates for the Langmuir model (Qmax and Kl).
-
Fit statistics such as Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), and R-squared.
-
Error metrics including Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Squared Error (MSE), Relative Absolute Error (RAE), and standard error of estimates.
A model fit plot with bootstrapped 95
A residual plot for diagnostic assessment of model performance.
Author(s)
Paul Angelo C. Manlapaz
References
Langmuir, I. (1918) <doi:10.1021/ja01269a066> The adsorption of gases on plane surfaces of glass, mics and platinum. Journal of the American Chemical Society, 1361-1403.
Examples
Ce <- c(0.01353, 0.04648, 0.13239, 0.27714, 0.41600, 0.63607, 0.80435, 1.10327, 1.58223)
Qe <- c(0.03409, 0.06025, 0.10622, 0.12842, 0.15299, 0.15379, 0.15735, 0.15735, 0.16607)
fit_langmuirLM4(Ce, Qe, verbose = TRUE)
fit_langmuirLM4(Ce, Qe)