title: read.csv/read.table R 3.1.1 typeconvert error
body: <p>Having updated to R version 3.1.1, <code>read.table</code>/<code>read.csv</code> incorporated in R code which ran under previous versions of R no longer works.   My original code was simply:</p>
  
  <pre><code>read.csv("C:/................",skip = 2,as.is= TRUE)
  </code></pre>
  
  <p>I am getting the following error:</p>
  
  <blockquote>
    <p>Error in .External2(C_typeconvert, x, na.strings, as.is, dec) : </p>
    
    <p>Incorrect number of arguments (4), expecting 5 for 'typeconvert'</p>
  </blockquote>
  
  <p>I have tried to incorporate all the options which are required by <code>type.convert</code> ie</p>
  
  <pre><code>type.convert(x, na.strings = "NA", as.is = FALSE, dec = ".")
  </code></pre>
  
  <p>but to no avail. In terms of data types I have a mix of character and numeric fields but, possilbly, the most striking elements of the data are: </p>
  
  <p>1)  Numeric fields have two missing indicators 'A' and 'NA'. Which is why I originally used the 'as.is' option and later used type.convert.  For example</p>
  
  <p>Mean  SD<br>
  NA    0.30<br>
  NA    0.20<br>
  NA    0.30<br>
  NA    0.20<br>
  2.2   NR<br>
  1.9   NA<br>
  2.2   NA<br>
  1.9   NA<br>
  NR    NR  </p>
  
  <p>2) The second is that some of my character fields incorporate full stops is 'A.B'.</p>
  
  <p>Has something changed in this version of R?  </p>