title: Why does regression in R delete index 1 of a factor variable?
body: <p>I am trying to do a regression in R using the <code>lm</code> and the <code>glm</code> function.</p>
  
  <p>My dependent variable is logit transformed data based on proportion of events over non-events within a given time period. So my dependent variable is continuous whereas my independent variable are factor variable or dummies.</p>
  
  <p>I have two independent variables that can take the values of</p>
  
  <blockquote>
    <ul>
    <li>Year i to year m, my YEAR variable</li>
    <li>Month j to month n, my MONTH variable</li>
    </ul>
  </blockquote>
  
  <p>The problem is that whenever I run my model as summaries the results April(index 1 for month) and 1998 (index 1 for year) is not within the results... if I change April to let's say "foo_bar", August will be missing... </p>
  
  <p>Please help! This is frustrating me and I simply do not know how to search for a solution to the problem.</p>