title: Post-hoc test for lmer Error message
body: <p>I am running a Linear Mixed Effect Model in R and I was able to successfully run my code and get results.</p>
  
  <p>My code is as follow:</p>
  
  <pre><code>library(lme4)
  library(multcomp)
  read.csv(file="bh_new_all_woas.csv")  
  whb=read.csv(file="bh_new_all_woas.csv")  
  attach(whb)  
  head(whb)  
  whb.model = lmer(Density ~ distance + (1|Houses) + Cats, data = whb)  
  summary(whb.model)
  </code></pre>
  
  <p>However, I would like to do a comparison of my distance fixed factor that has 4 levels to it. I tried running a lsmean as followed: </p>
  
  <pre><code>lsmeans(whb.model, pairwise ~ distance, adjust = "tukey") 
  </code></pre>
  
  <p>This error popped up: </p>
  
  <pre><code>Error in match(x, table, nomatch = 0L) : 'match' requires vector arguments
  </code></pre>
  
  <p>I also tried glht using this code:</p>
  
  <pre><code>glht(whb.model, linfct=mcp(distance="tukey"))
  </code></pre>
  
  <p>and got the same results. A sample of my data is as follows:</p>
  
  <pre><code>Houses  distance   abund       density      
  House 1 20         0           0
  House 1 120        6.052357    0.00077061
  House 1 220        3.026179    0.000385305
  House 1 320        7.565446    0.000963263
  House 2 20         0           0
  House 2 120        4.539268    0.000577958
  House 2 220        6.539268    0.000832606
  House 2 320        5.026179    0.000639953
  House 3 20         0           0
  House 3 120        6.034696    0.000768362
  House 3 220        8.565446    0.001090587
  House 3 320        5.539268    0.000705282
  House 4 20         0           0
  House 4 120        6.052357    0.00077061
  House 4 220        8.052357    0.001025258
  House 4 320        2.521606    0.000321061
  House 5 20         4.513089    0.000574624
  House 5 120        6.634916    0.000844784
  House 5 220        4.026179    0.000512629
  House 5 320        5.121827    0.000652131
  House 6 20         2.513089    0.000319976
  House 6 120        9.308185    0.001185155
  House 6 220        7.803613    0.000993587
  House 6 320        6.130344    0.00078054
  House 7 20         3.026179    0.000385305
  House 7 120        9.052357    0.001152582
  House 7 220        7.052357    0.000897934
  House 7 320        6.547785    0.00083369
  House 8 20         5.768917    0.000734521
  House 8 120        4.026179    0.000512629
  House 8 220        4.282007    0.000545202
  House 8 320        7.537835    0.000959747
  House 9 20         3.513089    0.0004473
  House 9 120        5.026179    0.000639953
  House 9 220        8.052357    0.001025258
  House 9 320        9.573963    0.001218995
  House 10 20        2.255828    0.000287221
  House 10 120       5.255828    0.000669193
  House 10 220       10.060874   0.001280991
  House 10 320       8.539268    0.001087254
  </code></pre>
  
  <p>Does anyone have any suggestions on how to fix this problem?</p>