Adjusted Ranking with suspended data.

I've a table:

R=RANK T=Time Failure C=logical (0=false;1=true)

I want to calculate the adjusted rank for C = true

Math used for that is:

• rj: being the adjusted rank
• n: total failures.
• qj: rank of the actual failure (C= true)

Math wise this isn't the challenge. I am having issues with getting this math translated into Matlab. if somebody could help with this then that would be awesome. I am just stuck at this point.

The adjusted ranks will eventually being used in Benard's Approximation to determine the median ranking.

Again any help would be appreciated.

[Prateek Khandelwal]

You need to loop over the table twice, first to find the total number of failures, and the second time for calculating the adjusted ranks.