sE.progress | R Documentation |
Simulates the evolution of the substrate concentration along time.
sE.progress(So, time, Km, Vm, unit_S = 'mM', unit_t = 'min',
I = 0, Kic = Inf, Kiu = Inf, replicates = 3,
error = 'a', sd = 0.005, plot = TRUE)
So |
initial substrate concentration. |
time |
reaction timespan. |
Km |
Michaelis constant. |
Vm |
maximal velocity. |
unit_S |
concentration unit. |
unit_t |
time unit. |
I |
inhibitor concentration. |
Kic |
competitive inhibition constant. |
Kiu |
uncompetitive inhibition constant. |
replicates |
number of replicates for the dependent variable |
error |
it should be one among c('absolute', 'relative'). |
sd |
standard deviation of the error. |
plot |
logical. If TRUE, the progress curve is plotted. |
When sd is different to 0, then an absolute error normally distributed is added to the variable St.
Returns a dataframe where the two first columns are time and St (without error). The two last columns are the mean and sd of the variable St.
fE.progress()
sE.progress(So = 10, time = 5, Km = 4, Vm = 50, plot = FALSE)
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