
   Hello, list: 

   I am trying to implement a model with lmer. The dependent variable is 
different insect abundances for different sites, and the explanatory variables 
are several coefficients of variation for the intensity of different sexual 
signals shown by swallows nesting in those sites. Measures were taken in two 
different years, so I included "year" as a random factor. As I was getting an 
error message, I decided to simplify the amalysis just to check were the problem 
could be. Still with the simplest possible analysis:

   insectmodel2<-lmer(inslarge~tlengthcoef+(1|year))

   I still get this message (sorry some parts are in Spanish, I don't know how 
to change that):

   Mensajes de aviso perdidos
1: In model.matrix.default(mt, mf, contrasts) :
  variable 'inslarge' converted to a factor
2: In model.matrix.default(mt, mf, contrasts) :
  variable 'tlengthcoef' converted to a factor
3: In function (fr, FL, start, REML, verbose)  :
  NAs introducidos por coerción (NAs introduced by coercion

   It's funny that it converts my variables to factors when I've been struggling 
for that not to happen when attaching the data set.
   Anyone can help me explain and deal with this problem? Thank you very much!

   Iker
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