title: How to compute P-value and standard error from correlation analysis of R's cor()
body: <p>I have <a href="http://dpaste.com/1064360/plain/">data</a> that contain 54 samples for each condition (x and y).
  I have computed the correlation the following way:</p>
  
  <pre><code>&gt; dat &lt;- read.table("http://dpaste.com/1064360/plain/",header=TRUE)
  &gt; cor(dat$x,dat$y)
  [1] 0.2870823
  </code></pre>
  
  <p>Is there a native way to produce SE of correlation in  R's cor() functions above
  and p-value from T-test? </p>
  
  <p>As explained in this <a href="http://www.sjsu.edu/faculty/gerstman/StatPrimer/correlation.pdf">web</a> (page 14.6)</p>