r - adding regression line per group with ggplot2

Question

I do the following graph:

> ddd
      UV.NF TRIS            volvol
2  145.1923   31  500 μl / 625  μl
3  116.3462   50  500 μl / 625  μl
4  127.1635   60  500 μl / 625  μl
5  125.9615   69  500 μl / 625  μl
6  162.0192   30    1 ml / 625  μl
7  166.8269   50    1 ml / 625  μl
8  176.4423   60    1 ml / 625  μl
9  171.6346   70    1 ml / 625  μl
19 292.3077   31 500 μl / 2500  μl
20 321.1538   50 500 μl / 2500  μl
21 225.0000   60 500 μl / 2500  μl
22 263.4615   69 500 μl / 2500  μl
23 301.9231   30   1 ml / 2500  μl
24 350.0000   50   1 ml / 2500  μl
25 282.6923   60   1 ml / 2500  μl
26 282.6923   70   1 ml / 2500  μl
35 133.6207   31  500 μl / 625  μl

ggplot() +  
    geom_point(aes(y = log(UV.NF), x = TRIS, colour=ddd[,"volvol"], shape=ddd[,"volvol"]), 
        data=ddd) + 
    labs(colour = "volvol", shape="volvol") + xlab("TRIS (mM)") + 
    guides(colour = guide_legend(title="Vol. lyo. / Vol. reconst."), 
        shape=guide_legend(title="Vol. lyo. / Vol. reconst.")) +
    scale_shape_manual(values = c(19,19,3,3)) + scale_colour_manual(values = c(2,4,2,4))

I want to add the regression line lm(y~x) for each of the four groups appearing in the legend. I have done many attempts with geom_smooth() but without success.

Answer 1

I'm not quite sure whether that's what you want, but have you tried the following?

ggplot(ddd,aes(y = log(UV.NF), x = TRIS, colour = volvol, shape = volvol)) +
   geom_point() + geom_smooth(method = "lm", fill = NA)

This gives me the following plot with your data:

There's also some documentation for geom_smooth that does pretty much what you'd like, albeit in a more complicated (yet flexible) manner.