Can one extract model fit parameters after a ggplot stat_smooth call?

Posted by Alex Holcombe on Stack Overflow See other posts from Stack Overflow or by Alex Holcombe
Published on 2010-04-19T11:02:52Z Indexed on 2010/04/19 12:33 UTC
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Using stat_smooth, I can fit models to data. E.g.

g=ggplot(tips,aes(x=tip,y=as.numeric(unclass(factor(tips$sex))-1))) +facet_grid(time~.) 
g=g+ stat_summary(fun.y=mean,geom="point") 
g=g+ stat_smooth(method="glm", family="binomial")

I would like to know the coefficients of the glm binomial fits. I could re-do the fit with dlply and get the coefficients with ldply, but I'd like to avoid such duplication.

Calling str(g) reveals the hierarchy of objects that ggplot creates, perhaps there's some way to get to the coefficients through that?

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Developer IT

Can one extract model fit parameters after a ggplot stat_smooth call? - Developer IT

Can one extract model fit parameters after a ggplot stat_smooth call?

ggplot2

r

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Annotating axis in ggplot2

How safe am I singing into Google Spreadsheets with yeroon.net/ggplot2

R ggplot2: Arrange facet_grid by non-facet column (and labels using non-facet column)

Show frequencies along with barplot in ggplot2

Error when trying to create a faceted plot in ggplot2

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