title: Copy to without quotes
body: <p>I have a large dataset in dbf file and would like to export it to the csv type file.
  Thanks to <a href="https://stackoverflow.com/questions/17443524/speed-up-read-dbf-in-r-problems-with-importing-large-dbf-file">SO</a> already managed to do it smoothly.</p>
  
  <p>However, when I try to import it into R (the environment I work) it combines some characters together, making some rows much longer than they should be, consequently breaking the whole database. In the end, whenever I import the exported csv file I get only half of the db.
  Think the main problem is with quotes in string characters, but specifying <code>quote=""</code> in R didn't help (and it helps usually).</p>
  
  <p>I've search for any question on how to deal with quotes when exporting in visual foxpro, but couldn't find the answer. Wanted to test <a href="http://computer-programming-forum.com/2-vfp/b3df232ed2caac9b.htm" rel="nofollow noreferrer">this</a> but my computer catches error stating that I don't have enough memory to complete my operation (probably due to the large db).</p>
  
  <p>Any helps will be highly appreciated. I'm stuck with this problem on exporting from the dbf into R for long enough, searched everything I could and desperately looking for a simple solution on how to import large dbf to my R environment without any bugs.</p>
  
  <p>(In R: Checked whether have problems with imported <a href="https://stackoverflow.com/questions/11320372/rs-read-csv-omitting-rows">file</a> and indeed most of columns have much longer nchars than there should be, while the number of rows halved. Read the db with <code>read.csv("file.csv", quote="")</code> -> didn't help. Reading with <code>data.table::fread()</code> returns error </p>
  
  <blockquote>
    <p>Expected sep (',') but '0' ends field 88 on line 77980:</p>
  </blockquote>
  
  <p>But according to verbose=T this function reads right number of rows (read.csv imports only about 1,5 mln rows) </p>
  
  <blockquote>
    <p>Count of eol after first data row: 2811729 Subtracted 1 for last eol
    and any trailing empty lines, leaving 2811728 data rows</p>
  </blockquote>