text: user4595: I am trying to read a txt file in R but always I am getting 
  Error in scan(file = file, what = what, sep = sep, quote = quote, dec = dec,  : 
    line 113 did not have 10 elements
  
  I noticed that in the header of my file I have something like 
   0000775 €   g¿´�€   4_®™00000016125 13404727020 017402  0                                                                                                    ustar   devons01                        stlab-icgc 
  
  Even by removing these characters I am not able to read this file
  This is link of my file
  https://www.dropbox.com/s/rpc5jgti5aa433b/txt.txt?dl=0
  Could somebody please heap me in reading this file in R?
  
  user77: Delete the corrupt portion preceeding CFS in the header and it works with with read.delim().
  
  user131: We can skip the first row:
  read.delim("txt.txt", skip = 1, header = FALSE)
  
  Or we can get the "uncorrupted" version of the table, it looks like it is from this paper, Table S4.
  
original_text: 4595: <p>I am trying to read a txt file in R but always I am getting </p>
  
  <pre><code>Error in scan(file = file, what = what, sep = sep, quote = quote, dec = dec,  : 
    line 113 did not have 10 elements
  </code></pre>
  
  <p>I noticed that in the header of my file I have something like </p>
  
  <pre><code> 0000775 €   g¿´�€   4_®™00000016125 13404727020 017402  0                                                                                                    ustar   devons01                        stlab-icgc 
  </code></pre>
  
  <p>Even by removing these characters I am not able to read this file</p>
  
  <p>This is link of my file</p>
  
  <p><a href="https://www.dropbox.com/s/rpc5jgti5aa433b/txt.txt?dl=0" rel="nofollow noreferrer">https://www.dropbox.com/s/rpc5jgti5aa433b/txt.txt?dl=0</a></p>
  
  <p>Could somebody please heap me in reading this file in R?</p>
   77: <p>Delete the corrupt portion preceeding <code>CFS</code> in the header and it works with with <code>read.delim()</code>.</p>
   131: <p>We can skip the first row:</p>
  
  <pre><code>read.delim("txt.txt", skip = 1, header = FALSE)
  </code></pre>
  
  <p><strong>Or</strong> we can get the <em>"uncorrupted"</em> version of the table, it looks like it is from <a href="https://doi.org/10.1016/j.celrep.2013.07.003" rel="nofollow noreferrer">this paper</a>, <a href="https://www.sciencedirect.com/science/article/pii/S2211124713003501?via%3Dihub#mmc4" rel="nofollow noreferrer">Table S4</a>.</p>
  