Published
Edited
Apr 16, 2021
zParts = {
const data = []
for (let i = 0; i < generations.length - 1; ++i) {
const { dz, dz_selection, dz_transmission } = pricesEquationParts(generations[i], generations[i + 1]);
data.push({ gen: i, value: dz, type: "all" });
data.push({ gen: i, value: dz_selection, type: "selection" });
data.push({ gen: i, value: dz_transmission, type: "transmission" });
}
return data;
}
pricesEquationParts = (p_start, p_final) => {
const q0 = calcFractionBlueEyed(p_start);
const q1 = 1 - q0;
const qp0 = calcFractionBlueEyed(p_final);
const qp1 = 1 - qp0;
const dq0 = qp0 - q0;
const dq1 = qp1 - q1;
const z0 = q0 * z_blue; // Mean z_blue value in start population
const z1 = q1 * z_brown; // 0
const zp0 = qp0 * z_blue;
const zp1 = qp1 * z_brown; // 0
const dz0 = zp0 - z0;
const dz1 = zp1 - z1; // 0
const dz_selection = dq0 * z0 + dq1 * z1;
const dz_transmission = qp0 * dz0 + qp1 * dz1;
const dz = dz_selection + dz_transmission;
return { dz, dz_selection, dz_transmission }
}
calcFractionBlueEyed = (pop) => {
let numBlueEyed = pop.reduce((tot, [first, second]) => tot + (first === 0 && second === 0), 0)
return numBlueEyed / N
}
calcFractionBlueAlleles = (pop) => {
let numBrownAlleles = pop.reduce((tot, [first, second]) => tot + first + second, 0)
return (2 * N - numBrownAlleles) / (2 * N)
}
randWithReplacement = () => [Math.floor(random() * N), Math.floor(random() * N)]
random = {
const seed = 0.5; // any number in [0, 1)
return d3.randomUniform.source(d3.randomLcg(seed))(0, 1);
}
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