sim.add.data: Simulate data under additive model.

In Stickbreaker: Fits Stickbreaking, Multiplicative and Additive Models to Data

Description

Simulate data under additive model.

Usage

sim.add.data(n.muts, addcoes, sigma, w.wt, geno.matrix)

Arguments

n.muts	Number of mutations.
addcoes	Vector of additive effect for each mutation
sigma	Noise to add to expectations
w.wt	Fitness of the wildtype
geno.matrix	Specifies which genotypes are simulated.

Details

Function takes additive effects (addcoes) and generates the expected fitness values for each genotype. This set of expected values is returned as fit.matrix.exp. Then it adds normal error to them to produce the "observed" data (fit.matrix).

Value

List:
[[1]] fit.matrix is matrix with (simulated) observed data
[[2]] fit.matrix.exp is same matrix without error

Examples

addcoes <- rep(0.3, 3)
geno.matrix <- generate.geno.matrix(3)
sim.add.data(3,addcoes,0.1,1,geno.matrix)

Stickbreaker documentation built on May 29, 2017, 9:01 a.m.