interpreting R native boxplot function -


i'm new r. i'm trying on native boxplot function, using ~ shall combine different variables on x axis.

my book gives 2 examples

boxplot(len ~ supp, data = toothgrowth)

and 

boxplot(len ~ supp + dose, data = toothgrowth)

i understand first one, + in boxplot(len ~ supp + dose, data = toothgrowth) do? output confusing me (shown below). enter image description here

in second instance len ~ sup + dose equivalent of doing:

tg_split <- with(   toothgrowth,   split(len, list(supp, dose)   ) )  boxplot(tg_split)

i.e. splits len vector 2 factors supp , dose, , gives values of len every combination of 2 factors.

tg_split   $oj.0.5  [1] 15.2 21.5 17.6  9.7 14.5 10.0  8.2  9.4 16.5  9.7   $vc.0.5   [1]  4.2 11.5  7.3  5.8  6.4 10.0 11.2 11.2  5.2  7.0   $oj.1   [1] 19.7 23.3 23.6 26.4 20.0 25.2 25.8 21.2 14.5 27.3   $vc.1   [1] 16.5 16.5 15.2 17.3 22.5 17.3 13.6 14.5 18.8 15.5   $oj.2   [1] 25.5 26.4 22.4 24.5 24.8 30.9 26.4 27.3 29.4 23.0   $vc.2   [1] 23.6 18.5 33.9 25.5 26.4 32.5 26.7 21.5 23.3 29.5

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