I have data which looks like:
AGE AGE_CAT decile house_price
1 22 bin_18_24 1 4726.947
2 22 bin_18_24 2 8161.651
3 23 bin_18_24 3 11699.392
4 24 bin_18_24 4 14941.351
5 21 bin_18_24 5 17676.896
6 20 bin_18_24 6 21592.982
7 20 bin_18_24 7 29277.973
8 20 bin_18_24 8 37110.146
9 23 bin_18_24 9 47122.003
10 19 bin_18_24 10 112750.115
11 25 bin_25_29 1 7584.590
12 25 bin_25_29 2 17151.103
13 27 bin_25_29 3 25990.247
14 25 bin_25_29 4 32154.051
15 27 bin_25_29 5 38576.356
16 28 bin_25_29 6 47229.818
17 26 bin_25_29 7 54688.024
18 29 bin_25_29 8 64382.058
19 29 bin_25_29 9 80473.481
20 26 bin_25_29 10 187721.742
Where;
AGE is the persons age,
AGE_CAT is the category of peoples ages (between 18 and 24),
decil is a ranking of 1 to 10 of the persons house Price (i.e. decile 10 = most expensive).
I am trying to compute the NPV based on this formula;
Where $(a)$ is the AGE, $b_i(a) = [decile1(a), decile10(a)]$.
I am having a hard time trying to figure out what "a_tilde" is. I have been told that its the index for age and that by putting in "tilde" we allow age to vary independently of the age of the bin (AGE_CAT).
In R I am using this code:
npvs <- df %>%
mutate(a_tilde = 1, # I don`t know what should be here
discount = 1 / (1 + rate) ^ (a_tilde - AGE),
CF_disc = house_price * discount)

The comments of Mauro Allegranza go in the right direction. But it seems that you haven´t understood fully how to interpret the formula. We have
$$NVP(a, b_i(a))=\sum\limits_{\tilde a>a} \frac{f(\tilde a, b_i(\tilde a))}{(1+r)^{(\tilde a-a)}}$$
$\tilde a$ is an index which are integers only. For instance, if $a=25$ then $\tilde a>a$ means that $\tilde a \in \{26,27,28,29\}$. In that case
$$NVP(25, b_i(25))=\sum\limits_{\tilde a>25} \frac{f(\tilde a, b_i(\tilde a))}{(1+r)^{(\tilde a-25)}}=\sum\limits_{\tilde a=26}^{29} \frac{f(\tilde a, b_i(\tilde a))}{(1+r)^{(\tilde a-25)}}$$
$$=\frac{f(26, b_i(26))}{(1+r)^{(26-25)}}+\frac{f(27, b_i(27))}{(1+r)^{(27-25)}}+\frac{f(28, b_i(28))}{(1+r)^{(28-25)}}+\frac{f(29, b_i(29))}{(1+r)^{(29-25)}}$$
$$=\frac{f(26, b_i(26))}{(1+r)^{1}}+\frac{f(27, b_i(27))}{(1+r)^{2}}+\frac{f(28, b_i(28))}{(1+r)^{3}}+\frac{f(29, b_i(29))}{(1+r)^{4}}$$