I have a 2 D matrix where each column is a set of data that is Weibull distributed. I want to use wblfit to get the parameters for each column of data without using for loop.

for e.g. I have X =[20,5}. Basically i have 5 data sets stacked up. Can do something like [p] = wblfit(X)... and p should contain the parameters for each column of data. p(1) = [a1,b1]; p(2)=[a(2),b(2)]; I can do this the long hand way using for loop but i would like to do it in one go without a for loop. Note: In my actual case I have a huge matrix and I would like to save cpu time by somehow using matrix operations rather than for loop operation. Hence my question. Thanks in advance for help.

Answer 1

[Ahmet Cecen]

This should work faster than an explicit for loop:

Result = splitapply(@(x1){wblfit(x1)},X,1:size(X,2));

Then each group of parameters can be accessed as:

Result{columnindex};

[Pappu Murthy]

thanks. that worked perfectly alright. Meanwhile I found out that i could use the cellfun to achieve the same result.