Davis, Jacob B. wrote:> I have recently fit a binomial link = logit model and I want to visually
> see the estimated response across a specific covariate.
>
>
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> I can accomplish this by creating a function that extracts the betas
> from the model then forms a linear combination with the classes I'm
> interested in next pass the value through the inverse logit function, do
> this for each class in a covariate, then plot the results.
>
>
>
> My question is: Is there a built in function that will do all of this
> for me, where all I have to do is supply the classes for each covariate
> I'm interested in and it plots for me?
>
Have a look at the following:
?predict
?all.effects in library(effects)
?effect in library(effects)
> On a similar note is there a quick way to plot the study size across a
> covariate from model results, without creating my own functions?
>
>
>
> Thanks in advance,
>
>
>
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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> Jacob Davis
>
> Actuarial Analyst
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> [[alternative HTML version deleted]]
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