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
50.10 0.12 0.13
60.11 0.130.16
70.13 0.150.17
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!
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and provide commented, minimal, self-contained, reproducible code.
