title: t-test for multiple columns of dataframe
body: <p>I have a  hourly PM10 data from 2014 to 2019 and it has 4 stations. I want to apply t-test on these stations to compare their values. My data contains only 4 columns which names are bafra, atakum, canik, and ilkadim (stations names).</p>
  
  <p>This link is related my question but it always gived error. </p>
  
  <p><a href="https://stackoverflow.com/questions/48907955/r-t-test-over-multiple-columns-using-t-test-function">R: t test over multiple columns using t.test function</a></p>
  
  <p>I tried this code; but I want to show my results as a more clear such as results with station name, p value, conf. interval...</p>
  
  <pre><code>library(reshape2)
  meltdf &lt;- melt(samsun)
  pairwise.t.test(meltdf$value, meltdf$Var2, p.adjust = "none")
  </code></pre>
  
  <p>How can i do?</p>