Thank you very much. I do overlook something..... On Thu, May 31, 2012 at 5:20 PM, Thomas Lumley <tlum...@uw.edu> wrote: > On Fri, Jun 1, 2012 at 1:17 AM, Yue Guan <pipeha...@gmail.com> wrote: >> 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 >> > > As the help says, the default is predictions of the linear predictor. > To get predictions of the probability, use type="response" > > -thomas > > -- > Thomas Lumley > Professor of Biostatistics > University of Auckland
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