Hi Manuel, your problem is that the new variables you created are of numeric
type, while the model was fitted using factor. So the fix is to convert the
new variables to factors so the type matchs
Luciano
2010/7/7 Manuel Spínola mspinol...@gmail.com
Dear list members,
I am fitting a logistic regression with 5 explanatory factors (which I
converted to factors):
mod6 = glm(condicion ~ iluminacion + animales + cielo.raso + piso +
paredes, family=binomial, data=reglog)
I want to obtain the predicted probabilities and the se using the function
predict for some combination of the factors.
iluminacion = 1
animales = 0
cielo.raso = 0
piso = 0
paredes = 0
newdata1 = data.frame(iluminacion, animales, cielo.raso, piso, paredes)
newdata1$cond = predict(mod6, newdata = newdata1, type=response)
newdata1$cond = predict(mod6, newdata = newdata1, type=response)
Aviso en model.frame.default(Terms, newdata, na.action = na.action, xlev =
object$xlevels) :
variable 'iluminacion' is not a factor
Aviso en model.frame.default(Terms, newdata, na.action = na.action, xlev =
object$xlevels) :
variable 'animales' is not a factor
Aviso en model.frame.default(Terms, newdata, na.action = na.action, xlev =
object$xlevels) :
variable 'cielo.raso' is not a factor
Aviso en model.frame.default(Terms, newdata, na.action = na.action, xlev =
object$xlevels) :
variable 'piso' is not a factor
Aviso en model.frame.default(Terms, newdata, na.action = na.action, xlev =
object$xlevels) :
variable 'paredes' is not a factor
Error: variables 'iluminacion', 'animales', 'cielo.raso', 'piso', 'paredes'
were specified with different types from the fit
I don't understand what is wrong.
Any help will be appreciated.
Best,
Manuel
--
Manuel Spínola, Ph.D.
Instituto Internacional en Conservación y Manejo de Vida Silvestre
Universidad Nacional
Apartado 1350-3000
Heredia
COSTA RICA
mspin...@una.ac.cr
mspinol...@gmail.com
Teléfono: (506) 2277-3598
Fax: (506) 2237-7036
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