| FLM {AdIsMF} | R Documentation |
Freundlich Linear Model
Description
This model will fit the adsorption data to the linear form of the Freundlich equation and will give the estimates of the Freundlich parameters, namely "kf" and "1/n" while evaluating the performance efficiency of the linear model of Freundlich through several error functions.
Usage
FLM (ce, qe)
Arguments
ce |
Equilibrium concentration of the adsorbate in the solution |
qe |
Amount adsorbed |
Value
Freundlich Isotherm Linear Model: Model summary
correlation (ce, qe): Correlation between ce and qe
kf: Freundlich constant
1/n: Freundlich exponent related to adsorption intensity
AIC: Akaike information criterion
AICc: Corrected Akaike information criterion
BIC: Bayesian information criterion
RMSE: Root Mean Squared Error
MSE: Mean Squared Error
MAE: Mean Absolute Error
MAPE: Mean Absolute Percentage Error
Chi.square: Chi-square value
References
Giles, C. H. (1973). The history and use of the Freundlich adsorption isotherm. Journal of the Society of Dyers and Colourists, 89(8), 287-291.
Datta, S. P., Bhadoria, P. B. S., & Kar, S. (1998). Availability of extractable boron in some acid soils, West Bengal, India. Communications in soil science and plant analysis, 29(15-16), 2285-2306.
Examples
ce <- c(0.025, 0.04, 0.055, 0.099, 0.139, 0.402, 1.999, 11.336)
qe <- c(17.21, 35.42, 51.238, 72.659, 89.268, 182.21, 345.29, 634.231)
m.fit <- FLM (ce, qe)