Dear Abraham,
It's not entirely clear to me what you want to plot. If you want the "effect
display" for each predictor holding the others to typical values,
plot(allEffects(md1)) will do that.
But you appear to want to plot fitted probabilities for combinations of the
predictors even though the
With multiple predictors, I feel that predict ends up being less elegant.
Plus, I've found a lot of the
simple log-odds plots available in the effect package to be simple and easy
to use as compared to
base predict.
On Mon, Aug 13, 2012 at 3:01 PM, Bert Gunter wrote:
> Why not use
>
> ?predict.g
Why not use
?predict.glm ## with type = "response" ?
-- Bert
On Mon, Aug 13, 2012 at 12:39 PM, Abraham Mathew wrote:
> I'm trying to run a logit model and plot the probability curve for a number
> of the important predictors. I'm trying to do this
> with the Effects package.
>
>
> df=data.fram
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