title: Filtering out table rows using row.names that are exact strings
body: <p>I'm trying to subset my data based on the row.names column. My remove vector may have upwards of 30 titles in it. I'd like to remove entire rows of data from my set by using something that would work like this (although this, obviously, doesn't work). I can either modify the linear regression model, or just the original data set.</p>
  
  <pre><code>remove = -c("I Am A Movie", "I Am Also A Movie", "Avengers", "etc") 
  IVOD = lm(IVOD, subset=remove)
  </code></pre>
  
  <p>My data looks like this, with 500+ rows and about 60 more columns.</p>
  
  <pre><code>    row.names       IVOD_REV_ULT    DBO    
  1   I Am A Movie    1234567.91      1234670
  2   Avengers        123456.99       1234567
  </code></pre>
  
  <p>How do I create a vector of strings, and remove only those rows that match, <em>exactly</em>, the row.names string? This worked with a vector of numbers, but for people repeating this process who may be less familiar with R than even me, I need them to be able to see the actual names of the films being removed to avoid any mistakes if the data is ordered differently. 
  It is possible that some movies may have the same initial strings (ie "Dark Knight" and "Dark Knight Rises") so I also need my removal command to remove only perfect matches.</p>
  
  <p>Thanks in advance -- apologies if this is easier than I think it is. I've been researching it for 2 days and can't find a way to make it work.</p>