title: Regarding usage of sparse matrix as an input in Fselector package
body: <p>I am using information.gain(), chi.squared() and gain. Ratio() functions provided by Fselector package for feature selection.</p>
  
  <p>All these functions are accepting data frame as an input,
   as I am using matrix of dimension  200161(rows), 323(Column) data set ,Getting  error </p>
  
  <pre><code>error in jnew(name): java.lang.outofMemoryError: java heap space R
  </code></pre>
  
  <p>I have xeon preocessor, with 8 GB RAM, and after expanding the memory limit to max to assert by using 
  command </p>
  
  <pre><code>memory.limit() 
  </code></pre>
  
  <p>results in 8026,which is also not sufficient</p>
  
  <p>For memory efficiency i have converted data frame to Sparse matrix</p>
  
  <p>Now the question is, can we use sparse matrix as an input to functions information.gain(), chi.squared() and gain.ratio() </p>
  
  <p>Please anyone help regarding this,</p>
  
  <p>Thanks in advance</p>