[R] How to use predict() so that one retains the rows that they're associated with?
lists at dewey.myzen.co.uk
Thu Oct 20 14:44:03 CEST 2016
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?
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> and provide commented, minimal, self-contained, reproducible code.
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