Program for MAX & MIN

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DP
DP on 25 Oct 2019
Commented: Rena Berman on 12 Dec 2019
This code not giving me maximum,minimum value and index that i am looking for. so i want the 3 maximum and 2 minimum values and index that will be same as plot figure.
and this new code will true for any TT array
close all;
TT = [ 50 0 136 30 80 59 59 229 59 20 152 69 72 120 36 233 2 8 52 156 20 30 119 5 101 177 50 25 209 33 96 67 68 125 67 100 127 83 95 88];
NN = 1:1:40;
figure (1)
stem (NN,TT);
D = movmean (TT,5);
figure (2)
plot (NN,D)
%% threeMax and twoMin will be used to store the max and min values
threeMax = zeros(1,3);
twoMin = 100*ones(1,2);
max1index = 0;
max2index = 0;
max3index = 0;
min1index = 0;
min2index = 0;
%% loop logic to rank largest 3 elements in descending order
for i = 1:1:length(D)
if D(i) > threeMax(1)
threeMax(3) = threeMax(2);
max3index = max2index;
threeMax(2) = threeMax(1);
max2index = max1index;
threeMax(1) = D(i);
max1index = i;
elseif D(i) > threeMax(2)
threeMax(3) = threeMax(2);
max3index = max2index;
threeMax(2) = D(i);
max2index = i;
elseif D(i) > threeMax(3)
threeMax(3) = D(i);
max3index = i;
else
end
end
%% loop logic to locate the 2 smallest nonzero elements
for i = 1:1:length(D)
if D(i) < twoMin(1) && D(i) > 0
twoMin(1) = D(i);
min1index = i;
elseif D(i) < twoMin(2) && D(i) > 0
twoMin(2) = D(i);
min2index = i;
else
end
end
PLEASE HELP ME ASAP - PLEASE USE MY PROGRAM THAT I PROVIDED
AND ALSO SEE EXAMPLE FIGURE THAT I UPLODED
THANK YOU
  7 Comments
Star Strider
Star Strider on 25 Oct 2019
@John D’Errico — Thank you!
Rena Berman
Rena Berman on 12 Dec 2019
(Answers Dev) Restored edit

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Answers (2)

David Hill
David Hill on 26 Oct 2019
Your plot is not marking the three maximum values. If you did want the maximum values and the minum values in between, then you could just force it.
[M1,i1]=max(TT);
TT(i1)=nan;
[M2,i2]=max(TT);
TT(i2)=nan;
[M3,i3]=max(TT);
m=sort([i1,i2,i3]);
[m1,i4]=min(TT(m(1):m(2)));
[m2,i5]=min(TT(m2:end));

Image Analyst
Image Analyst on 28 Oct 2019
It's not clear how those particular locations were chosen. My best guess is that you are trying to find the peaks and valleys of a smoothed version of your data. So I'd try movmean() or sgolayfilt() followed by findpeaks().

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