title: How to condense global environment of many dataframes in R?
body: <p>I have a global environment of over 30 dataframes that will get even more filled as I write more. I needed to create separate dataframes for observations with data in each variable (almost as if they were separate groups). Hence why it is so large.</p>
  <p>The dataframes all have the same data and column names:</p>
  <pre><code>ID    VOne   VTwo  VThree   VFour
  123   2       1      1      1
  101   3       1      1      1
  </code></pre>
  <pre><code>ID   VOne    VTwo  VThree   VFour
  140  1        3     1        1
  112  1        3     1        1
  115  1        2     1        1
  </code></pre>
  <p>As you can see, the only thing that differs is the variable with data larger than 1 and the number of observations. Is there a way to condense the dataframes into a larger set I can choose from so I can remove the dataframes from the global environment so that they don't bog it up?</p>
  <p>I tried:</p>
  <pre><code>df_master_list &lt;- list(df1, df2)
  </code></pre>
  <p>But it isn't easy to discern which dataframe is which (in my actual data, I have over 30 all with specific names). Can I rename the items in the list easily in one or two steps without creating a vector of over 30 names and <code>setNames</code>?</p>
  <p>I am trying to find a way to rename the items in a list (or create a named list) without creating a list of 30 or more names. That is to say, I section in a list that say name should say the dataframe's name (like df1 or df2) instead of the default 1, 2, and so on.</p>