int.MM: Linearization of The Integrated Michaelis-Menten Equation

View source: R/LintMM.R

int.MMR Documentation

Linearization of The Integrated Michaelis-Menten Equation

Description

Estimates the kinetic parameters using an linearized form of the integrated Michaelis-Menten equation.

Usage

int.MM(data, unit_S = 'mM', unit_t = 'min')

Arguments

data

a dataframe with two columns. The first column contains the values of the independent variable time, t, and the second column contains the substrate concentrations.

unit_S

concentration unit.

unit_t

time unit.

Details

The r-squared value of the model can be checked using attributes().

Value

A list of two elements. The first element is named vector containing the Km and Vm. The second element is a dataframe where the first two columns are the original data and the last two columns are the transformed variables. Also a linear plot of the transformed variables together with the parameters values are provided.

Examples

int.MM(data = sE.progress(So = 10, time = 5, Km = 4, Vm = 50)[, c(1,3)])

renz documentation built on Nov. 27, 2023, 5:11 p.m.