, and \(mu\)
represents the grand mean of all algorithms given in <code>algorithms</code>):</p><ul><li><p>If <code>dif == "perc"</code> and <code>comparisons == "all.vs.first"</code>, the estimated quantity is
\(\phi_{1b} = (\mu_1 - \mu_b) / \mu_1 = 1 - (\mu_b / \mu_1)\).</p></li>
<li><p>If <code>dif == "perc"</code> and <code>comparisons == "all.vs.all"</code>, the estimated quantity is
\(\phi_{ab} = (\mu_a - \mu_b) / \mu\).</p></li>
<li><p>If <code>dif == "simple"</code> it estimates \(\mu_a - \mu_b\).</p