title: Friedman test unreplicated complete block design error
body: <p>I'm having trouble running a Friedman test over my data.
  I'm trying to run a Friedman test using this command:</p>
  
  <pre><code>friedman.test(mean ~ isi | expId, data=monoSum)
  </code></pre>
  
  <p>On the following database (<a href="https://www.dropbox.com/s/2ox0y1b4gwld0ai/monoSum.csv" rel="noreferrer">https://www.dropbox.com/s/2ox0y1b4gwld0ai/monoSum.csv</a>):</p>
  
  <pre><code>&gt; monoSum
     expId isi  N       mean
  1  m80B1   1 10 100.000000
  2  m80B1   2 10  73.999819
  3  m80B1   3 10  45.219362
  4  m80B1   4 10 116.566174        
  .   .     .   .          .
  18 m80L2   2 10  82.945491
  19 m80L2   3 10  57.675480
  20 m80L2   4 10 207.169277
  .    .     .  .   .      .
  25 m80M2   1 10 100.000000
  26 m80M2   2 10  49.752687
  27 m80M2   3 10  19.042592
  28 m80M2   4 10 150.411035
  </code></pre>
  
  <p>It gives me back the error:</p>
  
  <pre><code>Error in friedman.test.default(c(100, 73.9998193095267, 45.2193621626293,  : 
  not an unreplicated complete block design
  </code></pre>
  
  <p>I figure it gives the error because, when <code>monoSum$isi==1</code> the value of mean is always 100. Is this correct?</p>
  
  <p>However, <code>monoSum$isi==1</code> is alway 100 because it is the control group on which all the other <code>monoSum$isi</code> groups are normalized. I can not assume a normal distribution, so I cannot run a rmANOVA…
  Is there a way to run a friedman test on this data or am I missing a very essential point here?</p>
  
  <p>Many thanks in advance!</p>