Hi,
I think you are looking for
as.data.frame(effect("value", mod))
Best,
Ista
On Tue, Jan 29, 2013 at 6:08 PM, Abraham Mathew <abmathe...@gmail.com> wrote:
> I want to construct a logit model, plot the probability curve with the
> confidence intervals, and then I want to
> print out a data frame with the predictor, response value, predicted value,
> the low ci predicted value, and the
> high ci predicted value. So it should look something like:
>
> value low_ci prob hi_ci
> 5 0.10 0.12 0.13
> 6 0.11 0.13 0.16
> 7 0.13 0.15 0.17
> ....
>
> Here's some sample data, the glm model, and a plot using the effects. I
> have the plot, I
> just need the presided data.
>
> dt <- data.frame(won=c(rep(1,50),rep(0,50)), value=c(rnorm(100)))
>
> mod <- glm(won ~ value, data=dt, family="binomial")
> mod
>
> library(effects)
> plot(effect("value", mod), rescale.axis=FALSE, multiline=TRUE)
>
>
> Help!
>
> Thank You!
>
> [[alternative HTML version deleted]]
>
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