Without algebraically manipulating this following equality (i.e. reducing down to $n - 1 +r\choose n-1 $ etc. ), what is a combinatorial proof for this following equation?:
$$ \left(\!\!{n \choose r}\!\!\right) = \left(\!\!{n \choose {r-1}}\!\!\right) + \left(\!\!{ {n - 1} \choose r }\!\!\right) $$
I can easily understand the LHS: we're placing r indistinguishable items into n distinguishable bins. Hence, n multichoose r.
However, as for the RHS, I'm having trouble understanding the disjoint cases here that allows for the use of The Sum Rule.
Consider the two cases, which are based on what you can do with bin $n$:
Therefore,
$$ \def\multiset#1#2{{\left(\kern-.3em\left(\genfrac{}{}{0pt}{}{#1}{#2}\right)\kern-.3em\right)}} \multiset{n}{r} = \multiset{n}{r - 1} + \multiset{n - 1}{r} $$