Some more context would help here but here goes anyway.
You should have a vector of predictions with length equal to the number of rows in your original data-set so you can just use cbind. If that is not true check the documentation for the correct setting of na.action. If you used newdata = in your call to predict then your predictions apply to the new data, not the old, so amend my statement as appropriate.
If that does not answer then make a small example data-set, run glm on it, run predict, and then show us the data-set, the output from glm, the output from predict, and what went wrong when you tried to cbind them.
On 20/10/2016 12:40, mviljamaa wrote:
I'm using predict() for my glm() logistic model, but I'm having trouble relating the predicted results to the rows that produced them. I want to be able to plot predictions along some categorical variables. So what can I do in order to get predicted values but also know what variable values produced them? ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
-- Michael http://www.dewey.myzen.co.uk/home.html ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
