Variable () converted to a factor

An embedded and charset-unspecified text was scrubbed...
Name: not available
URL: <https://stat.ethz.ch/pipermail/r-sig-mixed-models/attachments/20110608/0eb73e19/attachment.pl>
Could you please send us the output from

library(lme4)
sessionInfo()
# whatever you do to attach your data
str(inslarge)
str('tlengthcoef)
? 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 coerci?n (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
? ? ? ?[[alternative HTML version deleted]]

_______________________________________________
R-sig-mixed-models at r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

An embedded and charset-unspecified text was scrubbed...
Name: not available
URL: <https://stat.ethz.ch/pipermail/r-sig-mixed-models/attachments/20110608/c6aad935/attachment.pl>
In your database, numeric variables are stored using the comma as the 
decimal delimiter. R recognises these variables as vectors of character 
strings. Use the dot as the decimal delimiter instead, or convert the 
comma to a dot during importation.

All the best,

Renaud

Le 08/06/2011 18:54, Iker Vaquero Alba a ?crit :
    sessionInfo()
R version 2.13.0 (2011-04-13)
Platform: i386-pc-mingw32/i386 (32-bit)

locale:
[1] LC_COLLATE=Spanish_Spain.1252  LC_CTYPE=Spanish_Spain.1252
[3] LC_MONETARY=Spanish_Spain.1252 LC_NUMERIC=C
[5] LC_TIME=Spanish_Spain.1252

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base

other attached packages:
[1] lme4_0.999375-39   Matrix_0.999375-50 lattice_0.19-23    nlme_3.1-100
[5] MASS_7.3-12

loaded via a namespace (and not attached):
[1] grid_2.13.0   stats4_2.13.0

   str(inslarge)
  chr [1:31] "1,107710913" "1,107710913" "0,97850759" "1,800528121" ...

   str(tlengthcoef)
  chr [1:31] "0,010580151" "0,021636091" "0,004123072" "0,10487174" ...

    Thank you very much.

    Iker

________________________________
De: Douglas Bates<bates at stat.wisc.edu>

CC: r-sig-mixed-models at r-project.org
Enviado: mi?,8 junio, 2011 18:14
Asunto: Re: [R-sig-ME] Variable () converted to a factor

Could you please send us the output from

library(lme4)
sessionInfo()
# whatever you do to attach your data
str(inslarge)
str('tlengthcoef)

ote:

   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 coerci?n (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
        [[alternative HTML version deleted]]

_______________________________________________
R-sig-mixed-models at r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

	[[alternative HTML version deleted]]

_______________________________________________
R-sig-mixed-models at r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

Renaud Lancelot
EDENext Project, coordinator: http://www.edenext.eu/

CIRAD, UMR15, Campus International de Baillarguet TA A-DIR / B
F34398 Montpellier

Tel.  +33 4 67 59 37 17  -  Fax  +33 4 67 59 37 95
Secr. +33 4 67 59 37 37  - Cell. +33 6 77 52 08 69
An embedded and charset-unspecified text was scrubbed...
Name: not available
URL: <https://stat.ethz.ch/pipermail/r-sig-mixed-models/attachments/20110608/bc993ead/attachment.pl>