How to use 'if' statement to pick up 3 to 4 values from the data that nearest to the mean?

Hi, this question is on the same project I've been working on 10 Oct 2016 at 7:35.

I have 24 values of data and a mean value. I've been working to get 3 to 4 value from the last half of the data that are nearest to the mean by using 'if' statement. I know 'if' statement can be like these... [ if any(statement) ] or [ if all(statement) ] .

So, how can I code it to pick up 3 to 4 values from the data that nearest to the mean? Here is my code from the latest question.

function [Consistency,limit] = detection(x,y) 
H = x; 
G = H(y:24,:); 
limit = mean(H(1:24,:)); 
if all(G > limit) 
S = std(G); 
Consistency = S; 
else 
Consistency = inf; 
end

Hope anyone can guide me. Thanks.

Answer 1

[Walter Roberson]

function [Consistency,limit] = detection(x,y) 
H = x; 
G = H(y:24,:); 
limit = mean(H(1:24,:));
vals4 = zeros(1,4);
bestdiff = inf(1,4);
bestvals = inf(1,4);
for r = 1 : size(G,1)
  for c = 1 : size(G,2)
    thisval = G(r,c);
    thisdiff = abs(thisval - limit);
    if thisdiff < bestdiff(1)
      bestdiff = [thisdiff, bestdiff(1), bestdiff(2), bestdiff(3)];
      bestvals = [thisval, bestvals(1), bestvals(2), bestvals(3)];
    elseif thisdiff < bestdiff(2)
      bestdiff = [bestdiff(1), thisdiff, bestdiff(2), bestdiff(3)];
      bestvals = [bestvals(1), thisval, bestvals(2), bestvals(3)];
    elseif thisdiff < bestdiff(3)
      bestdiff = [bestdiff(1), bestdiff(2), thisdiff, bestdiff(3)];
      bestvals = [bestvals(1), bestvals(2), thisval, bestvals(3)];
    elseif thisdiff < bestdiff(4)
      bestdiff = [bestdiff(1), bestdiff(2), bestdiff(3), thisdiff];
      bestvals = [bestvals(1), bestvals(2), bestvals(3), thisval];
    end
  end
end

Now bestvals are the 4 values that are closest to the mean.

I would certainly not code it this way for myself, but you specifically asked to use if, so this is the version that uses if.

[SyukriY]

Yes, thank you. Now I can do my first analysis.

Thanks, Walter.