Kostya's response is almost, but not quite correct. It confuses the Gateaux (or Frechet) derivative with the functional derivative. Let F be a functional, acting on a space M of functions defined on a space X. Then the Gateaux derivative of F at the function f is the functional DF[f] such that, to "first order", we have
F[f + $\delta$f] - F[f] = DF[f] [$\delta$f]
To define the functional derivative, we assume that DF[f] can be written as an integral operator:
DF[f][$\delta$f] = $\int$ ${{\delta F} \over {\delta f(x)}} \delta f(x) dx$
In other words, the functional derivative of F at f is the function (not functional!) of x such that:
F[f + $\delta f$] - F[f] = $\int$ ${{\delta F} \over {\delta f(x)}} \delta f(x) dx $
(Since this is a function, I actually prefer to write it as ${{\delta F} \over {\delta f}}(x)$, but, although this makes more sense, it's in violent conflict with the standard notation.)
This definition of the functional derivative always works, as opposed to definitions using multiples of delta functions (which often don't even belong to the set of functions in question!).
Note that since the functional derivative depends the space of functions, not the points of the underlying space, it doesn't make sense to take a partial functional derivative with respect to a particular coordinate direction. In fact, we may be doing this on a manifold, which has no chosen set of coordinates!
However, it is possible to have a functional defined on a product of spaces of functions. For example, with M as above, define F[f,g] = $\int f(x)g(x)^2 dx$. Then it does make sense to define partial functional derivatives with respect to the different spaces of functions. In our example,
F[f, g+$\delta$g] - F[f, g] = $\int f(x)(g(x)+\delta g(x))^2 dx$ - $\int f(x)g(x)^2 dx $
= $\int 2f(x) g(x) \delta g(x) dx $ = $\int {{\partial F} \over {\partial g(x)}} \delta g(x) dx$
That is, at (f, g), the partial functional derivative of F with respect to the second slot is the function:
${{\partial F} \over {\partial g(x)}} = 2f(x)\cdot g(x)$