I believe you have missing values and therefore you need to use
the argument
glm(formula, data, na.action=na.exclude, ...)
?na.exclude
The relevant line is
when 'na.exclude' is used the residuals and
predictions are padded to the correct length by inserting 'NA's
for cases omitted by 'na.exclude'.
Rich
On Thu, Oct 20, 2016 at 7:40 AM, mviljamaa <mvilja...@kapsi.fi> 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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