is.B.accurate: Verification of B accuracy

In SimEvolEnzCons: Simulation of Evolution of Enzyme Under Constraints

Description

Verifies if the vector B_fun of global co-regulation coefficients is accurate for other functions

Usage

is.B.accurate(B_fun, n_fun, correl_fun)

Arguments

B_fun	Numeric vector of global co-regulation coefficients
n_fun	Number of enzymes in the system
correl_fun	Character string indicating the constraint applied on the system

Details

Different tests are performed on parameter B_fun to verify its accuracy.

• Is there regulation? If yes, B_fun is necessary.

• Do B_fun have a correct length? Compare length(B_fun) and number of enzymes n_fun. If difference, stops.

• Is there negative regulation in correl_fun? If yes, does B_fun include a negative regulation? If difference, stops.

• Sum of 1/B_fun need to be equal an integer, which is the number of regulation groups.

Value

Return TRUE if all conditions are respected, else stop

See Also

To verify matrix of co-regulation coefficients, see function is.beta.accurate.

Examples

beta <- matrix(c(1,10,5,0.1,1,0.5,0.2,2,1),nrow=3)
B <- apply(beta,1,sumbis) 
is.B.accurate(B,3,"CRPos")

SimEvolEnzCons documentation built on Oct. 29, 2021, 1:07 a.m.