Relationship of Span to Subspace and Vector Space I'm looking for conceptual answers. From my understanding a vector space is the "largest" space possible for it's dimension. Example: $R^2$ contains all possible 2-vectors. And, from my understanding, given a set of 2-vectors they will only span $R^2$ if they are linear independent. Example: $\{\begin{pmatrix} 1 \\ 2 \end{pmatrix}, \begin{pmatrix} 2 \\ 1 \end{pmatrix}\}$ spans $R^2$
But does it span all of $R^2$? It, by definition, is a subspace of $R^2$, but can't this set also define the entirety of $R^2$? Why or why not?
I realize I'm probably not asking the right questions and have some sort of fundamental misunderstanding so please try to point out my conceptual errors, rather than the classic professorial reply, "I can't answer that question because it doesn't make sense." Thank you. 

If a set of vectors spans some vector space, it spans the entire space. This is the definition of a spanning some space. With your example it is clear that the two vectors are linearly independent. The geometric representation of their span will then be a plane. This plane can have various orientations, but it will still span all of the two-dimensional Euclidean space.
To clarify, the span of two three-dimensional vectors can be geometrically represented by one of an infinite amount of oriented planes. The two-dimensional case you are mentioning will always be the same oriented plane. Think of the span of two linearly independent (2-D) vectors as your standard coordinate plane.
