></div>
<pre><code>## Average marginal effects</code></pre>
<pre><code>## glm(formula = type ~ age * skin, family = binomial, data = Pima.te)</code></pre>
<pre><code>##       age    skin
##  0.009283 0.01064</code></pre>
<p>These marginal effects reflect, on average across all of the cases in our data, how much more likely a woman is to have diabetes. Because this is an <em>instantaneous</em> effect, it can be a little hard to conceptualize. I find it helpful to take a look at a predicted probability plot t