Let $T^r(V^*)$ denote the space of $r-$tensors on $V$ a vector space of dimension $n$. Basis of $V$ is denoted $\{u_1, \dots u_n $} and basis of $T^r(V^*)$ is $\{\tilde{u}^{i_1} \otimes \dots \otimes \tilde{u}^{i_r} : 1\leq i_1 \leq n, \dots , 1\leq i_r \leq n\}$
Let $\Sigma^r(V^*)$ be the (sub)space of symmetric $r-$tensors where if $\sigma \in S_r$ is a permutation in the symmetric group and $\alpha \in \Sigma^r(V^*)$, then: $$\alpha^\sigma (v_1, \dots , v_r) = \alpha (v_{\sigma(1)}, \dots , v_{\sigma(r)}) $$
What I am trying to do is determine the dimension of $\Sigma^k(V^*)$. I know that there is a projection mapping $\mathcal{S}$ called the symmetrizer from $T^r(V^*)$ onto $\Sigma^r(V^*)$ defined by:
$$\mathcal{S}(\alpha) = \dfrac{1}{r!}\sum_{\sigma \in S_r} \alpha^\sigma$$.
I also (from some searching) already know what the desired answer is: $$\text{dim}\Sigma^k(V^*) = \binom{n + r -1}{r} = \dfrac{(n + r -1)!}{r! (n-1)!}$$
However, I am unable to derive the general expression myself. My current approach, which has worked for $V = \mathbb{R}^4$ and $r =2, 3$ has been to consider the basis of $T^r(V^*)$ and see which elements give the same element of $\Sigma^k(V^*)$ upon symmetrization. For example for the $r=2$ case, I notice that $\mathcal{S}(\tilde{e}^1 \otimes \tilde{e}^2) = \mathcal{S}(\tilde{e}^2 \otimes \tilde{e}^1)$ ; $\mathcal{S}(\tilde{e}^1 \otimes \tilde{e}^3) = \mathcal{S}(\tilde{e}^3 \otimes \tilde{e}^1)$ ; $\mathcal{S}(\tilde{e}^1 \otimes \tilde{e}^4) = \mathcal{S}(\tilde{e}^4 \otimes \tilde{e}^1)$ ; $\mathcal{S}(\tilde{e}^3 \otimes \tilde{e}^2) = \mathcal{S}(\tilde{e}^2 \otimes \tilde{e}^3)$; $\mathcal{S}(\tilde{e}^4 \otimes \tilde{e}^2) = \mathcal{S}(\tilde{e}^2 \otimes \tilde{e}^4)$ ; and $\mathcal{S}(\tilde{e}^3 \otimes \tilde{e}^4) = \mathcal{S}(\tilde{e}^4 \otimes \tilde{e}^3)$. To these $6$ terms, I add the symmertrizations of $\tilde{e}^i \otimes \tilde{e}^i$ for $i \in \{1,2,3,4\}$ to get dimension 10, as required.