title: Why do not have an intercept in lmer model (fixed effects) and how to interpret the result?
body: <p>I do not understand why I do not have an intercept in output of my mixed effect model, I do not know how to interpret the result (fixed and random effects).
  variable preste present the loss in rolling surface, pente mean slope, classeFunc is the functional class of the road and idp_troncon_tembec mean section identifier.</p>
  
  <pre>
  Fixed effects:
                     Estimate Std. Error t value
  pente               -0.9215     0.2199  -4.191
  agelog:classeFunc1  -6.2900     1.2868  -4.888
  agelog:classeFunc2  -8.9555     1.1762  -7.614
  agelog:classeFunc3 -11.7433     1.0861 -10.812
  
  
  Random effects:
   Groups             Name   Variance Std.Dev.
   idp_troncon_tembec agelog 39.00    6.245   
   Residual                  81.68    9.038   
  Number of obs: 192, groups:  idp_troncon_tembec, 111
  
  
  Correlation of Fixed Effects:
              pente  agl:F1 agl:F2
  aglg:clssF1 -0.219              
  aglg:clssF2 -0.264  0.058       
  aglg:clssF3 -0.297  0.065  0.078
  </pre>