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 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
