How to do inline function with unique instead of using for loop

tdata = table([1 1 1 3 4 4 4 4]', ["eq","fr","wt","fl","eq","fr","fl","tr"]', [24 55 10 5 3 5 7 9 ]', int64([ 5 2   7 1 50 10 5 5 ]'),...
              'VariableNames',["EBID","Peril","Loss","Trial"]);
refGrp = [ "EBID"];
[ uniqEBID, ~, JGrp]= unique( tdata( :, refGrp));
uniqEBID.maxLoss = accumarray( JGrp, tdata.Loss, [], @max);

instead of doing for loop below, can we use inline function with accumarray to do task below. Basically selecting other fields that has same index as maxLoss

for runi= 1: height( uniqEBID_Type)
    tloc = (JGrp== runi);
    tdata_i = tdata( tloc, :);
    [ tmax, idx]= max( tdata_i.Loss);
    uniqEBID.Peril( runi) = tdata_i.Peril( idx);
    uniqEBID.Trial( runi) = tdata_i.Trial( idx);
end

Answer 1

[Matt J]

If by "inline function", you mean an anonymous function, then no. But you can certainly do it with a local function.

tdata = table([1 1 1 3 4 4 4 4]', ["eq","fr","wt","fl","eq","fr","fl","tr"]', [24 55 10 5 3 5 7 9 ]', int64([ 5 2   7 1 50 10 5 5 ]'),...
              'VariableNames',["EBID","Peril","Loss","Trial"]);
refGrp = [ "EBID"];

uniqEBID=splitapply(@aggregate, tdata, findgroups(tdata.(refGrp)) )

uniqEBID = 3×4 table
    EBID    Peril    maxLoss    Trial
    ____    _____    _______    _____

     1      "fr"       55         2  
     3      "fl"        5         1  
     4      "tr"        9         5  

function  out=aggregate(EBID,Peril,Loss,Trial)

  [maxLoss,idx]=max(Loss);

  out=table(EBID(idx),Peril(idx), maxLoss,Trial(idx), ...
      'Var',{'EBID','Peril', 'maxLoss','Trial'});

end