Doing a series of operations on every subset of the data obtained from a dataframe - r

Question

This is a question of a noob in 'R' world. I tried searching and there were quite a few solutions that came close (e.g aggregate, by, etc), but I lacked the understanding to apply it to my problem. Would really appreciate if someone can guide me in a more detailed way.
Hypothetical Dataset
Name Wheels Color Mileage seat_capacity
1 2 Red 70 2
2 3 Black 60 7
3 4 Blue 12 5
4 4 White 15 6
5 3 Yellow 45 6
6 2 Green 70 2
7 3 Silver 45 6
8 6 Silver 5 4
9 14 Red 12 2
10 2 Black 70 7
11 4 Blue 70 5
12 3 White 60 6
13 4 Yellow 12 6
14 4 Green 15 2
I have initially created subsets of data based on color using split.
color <- split(df,df$color)
For each of the subsets created I would be doing more operations e.g
finding the vehicles with highest mileage among the vehicles with lowest number of wheels in each subset.....etc
I have written all the rules pertaining to the later half as well. I am struggling to find a way where I can run all the operations on each of the subset in the variable color.
Any help would be appreciated.

Answer 1

The following worked for me and I would sincerely want to thank #Imo and #aosmith for guiding me.
Assume, I would want to first group the df based on colour and then group further by wheels and then within each such subgroup(wheels) pick top 2 vehicles based on Mileage. Used the dplyr library to achieve the same.
my_list <- df %>% group_by(color, wheels) %>% top_n(2,Mileage)
HTH