title: R-Squared of lmer model fit
body: <p>I have a mixed effects model and I would like to see the R²- and p-value. I thought this is acessible by summary() but it's not. Or at least I don't realize it.</p>
  
  <pre><code>&gt; summary(fit1.lme &lt;- lmer(log(log(Amplification)) ~ poly(Voltage, 3) + (1 | Serial_number), data = bdf))
  Linear mixed model fit by REML ['lmerMod']
  Formula: log(log(Amplification)) ~ poly(Voltage, 3) + (1 | Serial_number)
     Data: bdf
  
  REML criterion at convergence: -253237.6
  
  Scaled residuals: 
       Min       1Q   Median       3Q      Max 
  -14.8183  -0.4863  -0.0681   0.2941   9.3292 
  
  Random effects:
   Groups        Name        Variance Std.Dev.
   Serial_number (Intercept) 0.008435 0.09184 
   Residual                  0.001985 0.04456 
  Number of obs: 76914, groups:  Serial_number, 1270
  
  Fixed effects:
                      Estimate Std. Error t value
  (Intercept)         0.826745   0.002582     320
  poly(Voltage, 3)1 286.978430   0.045248    6342
  poly(Voltage, 3)2 -74.061993   0.045846   -1615
  poly(Voltage, 3)3  39.605454   0.045505     870
  
  Correlation of Fixed Effects:
              (Intr) p(V,3)1 p(V,3)2
  ply(Vlt,3)1 0.001                 
  ply(Vlt,3)2 0.002  0.021          
  ply(Vlt,3)3 0.001  0.032   0.028  
  </code></pre>