[R] bigglm binomial negative fitted value

[Yue Guan]

Hi, there

Since glm cannot handle factors very well. I try to use bigglm like this:

logit_model <- bigglm(responser~var1+var2+var3, data, chunksize=1000,
family=binomial(), weights=~trial, sandwich=FALSE)

fitted <- predict(logit_model, data)

only var2 is factor, var1 and var3 are numeric.

I expect fitted should be a vector of value falls in (0,1)

However, I get something like this:
str(fitted)
 num [1:260617, 1] -0.0564 -0.0564 -0.1817 -0.1842 -0.1852 ...
 - attr(*, "dimnames")=List of 2
  ..$ : chr [1:260617] "1" "2" "3" "4" ...
  ..$ : NULL

Anyone can help on this case? Thank you in advance.

Best,

--Yue