title: Aggregate rows by group_by conditional
body: <p>I would like to solve this in dplyr if possible.</p>
  
  <p>I have a data frame:</p>
  
  <pre><code>Item         Count
  Bike Tire    15
  Car Tire     6
  H. Window    3
  S. Windows   7
  Spare Tires  1
  Widget X     88
  Widget Z     34
  ...
  </code></pre>
  
  <p>I want to get the data frame to aggregate to:</p>
  
  <pre><code>Item       Count
  Tires      22
  H. Window  3
  S. Windows 7 
  Widget X   88
  Widget Z   34
  ...
  </code></pre>
  
  <p>I got this far <code>filter(data, grepl(glob2rx("*tire*"), data$Item, ignore.case = TRUE)</code> so that I could see what rows would match, but how can I <code>group_by</code> so I can then aggregate the data in the example? I will also probably do the same for the other items but just want to understand the base case first.</p>