extract.tabEtot: Table of concentrations
In SimEvolEnzCons: Simulation of Evolution of Enzyme Under Constraints

Description Usage Arguments Details Value See Also Examples

Creates a table of all absolute concentrations from simulation results, or any table of enzyme concentrations (enzyme by column)

1	extract.tabEtot(tabR,beta_fun)

`tabR`	Dataframe of simulation results, which is an output of `simul.evol.enz.multiple`
`beta_fun`	Matrix of co-regulation coefficients

From the result table tabR of simulations, extract the values of absolute concentrations of each enzymes, and computes the absolute concentrations E^q in each regulation and the total concentration at each time step.

The input tabR is the output tabR of function simul.evol.enz.multiple, or possibly the output res_sim of function simul.evol.enz.multiple.

The function also works for any table tabR that has n columns (enzyme concentrations in columns), and any number of rows. The last column "sim" is not an obligation, but if present, need to be the last column.

Dataframe of n+p+2 columns, where n is the number of enzymes and p is the number of regulation groups. The n first columns are the concentrations of enzymes 1 to n (named E1, ..., En), the following p are the sum of concentrations in regulations groups from group 1 to p (named Ep1, ..., Epp), the second last column is the total concentration (named Etot) and the last column is the simulation number (named sim). The column are named: E1, ..., En, Eq1, ... Eqp, Etot, sim. The row number of the output dataframe is the same as tabR. The last column "sim" is present only if input tabR has a column named "sim".

Use function simul.evol.enz.multiple to run simulations.

#one group
n <- 3
beta <- diag(1,n)
beta[1,2] <- 0.1 ; beta[2,1] <- 1/beta[1,2]
some.E <- matrix(30,ncol=n,nrow=3)
some.E[2,] <- c(20,50,10)
some.E[3,] <- runif(n,1,100)
tabEtot <- extract.tabEtot(some.E,beta)


#With saved simulation
data(data_sim_RegPos)
tabEtot <- extract.tabEtot(data_sim_RegPos$tabR,data_sim_RegPos$param$beta)