Hello there,

I am relying on ggplot to create some scatterplots. Since ggplot does (for whatever reason) not seem to provide an easy way to get statistics of the plot, I use the script introduced here:

So my script looks like this:

```
ggplotRegression <- function (fit) {
require(ggplot2)
ggplot(fit$model, aes_string(x = names(fit$model)[2], y = names(fit$model)[1])) +
geom_point() +
stat_smooth(method = "lm", col = "red") +
labs(title = paste("Adj R2 = ",signif(summary(fit)$adj.r.squared, 5),
"Intercept =",signif(fit$coef[[1]],5 ),
" Slope =",signif(fit$coef[[2]], 5),
" P =",signif(summary(fit)$coef[2,4], 5)))
}
fit1 <- lm(Sepal.Length ~ Petal.Width, data = iris)
ggplotRegression(fit1)
```

I now have the coefficient I want in the plot´s header ("Adj R2")... But I want to have it as a variable in my working space. My attempts to extract it out of the function above failed to far. Anyone knows a quick solution? (in optimal case not just for the "Adj R2", but for each of the statistics displayed in the header)

Thanks!

Eike