Hi
Thanks for the input. Checked out the Missing Data Pattern you recommended and it sort of works but not fully.
In my data table, each name has 4 different rows. Each of the 4 row of a name is a result of 1 test (sens, mask, EVM and power)
In my data table example, device A fails the first test "Sens" and passes the 2nd, 3rd and 4th test. Because device A fails "Sens", this is a fail device even though it passes the 2nd, 3rd and 4th test.
If I use Tables==>Missing Data Pattern, then 2nd, 3rd and 4th rows of A will be deleted. Which is not what I am looking for. I want to delete 4 rows of each name when there are no data on them ( no data on 10 MHz, 20 MHz, 30 MHz and 1000 MHz). In my data table, names C, G, H, I, J K and N will be deleted.
Thanks for your helps