Forum Discussion
Sum of incentive amount based on the cell values
We may do step by step
In first step we return the matrix where each column corresponds to each model in Table1. Row indicates if such model is in related row of Table2 in Models. We use double dash "--" to convert TRUE and FALSE to 1 and 0 accordingly.
On second step we MMULT above matrix with incentives column of Table1. MMULT multiplies values in each row of matrix on related incentives value and return the sum for the row (first column matrix value * first row incentives value + second column matrix value * second row incentives value).
On third step we generate current name filter on Names in Table2.
Finally multiply one on another and sum resulting vector to have total sum for the current name.
- Thank you for your response sir, For now, i got my answer but didn't understand how this formula work
We may do step by step
In first step we return the matrix where each column corresponds to each model in Table1. Row indicates if such model is in related row of Table2 in Models. We use double dash "--" to convert TRUE and FALSE to 1 and 0 accordingly.
On second step we MMULT above matrix with incentives column of Table1. MMULT multiplies values in each row of matrix on related incentives value and return the sum for the row (first column matrix value * first row incentives value + second column matrix value * second row incentives value).
On third step we generate current name filter on Names in Table2.
Finally multiply one on another and sum resulting vector to have total sum for the current name.
