MATLAB: How can you calculate the mean of paired figures moving down a column of a variable

mean average

I am trying to calculate the mean of paired values working down a column of a variable.

The attached image shows the 19×1 matrix. I need to calculate the mean of row 1 and 2, 2 and 3, 3 and 4, and so on…

I am a novice to Matlab and this is for a university report. Any help would be greatly appreciated.

Best Answer

Try movmean

means = movmean(m, 2)

or else try

means = conv(m, [.5,.5], 'same');

Related Solutions

MATLAB: Trouble calculating column mean from a matrix – using different indices for each row

[m,n]=size(myMatrix); %Edited
e=1:n;
mask=VariableIndex1(:)<=e & e<=VariableIndex2(:);
result=sum(myMatrix.*mask,2)./sum(mask,2);

MATLAB: Correlation pairs

I think that You not need doing this. I'm offering the following variant:

LName={'Name1','Name2','Name3'};
Dat={rand(12,1),rand(12,1),rand(12,1)};
d = [LName;Dat];
Data = struct(d{:});
d1 = cell2mat(struct2cell(Data)');
[R,P] = corrcoef(d1);
Correlation = [LName(nchoosek(1:size(R,1),2)) num2cell(nonzeros(tril(R,-1)))]

R = corrcoef([Dat{:}]);
Correlation = [nchoosek(1:size(R,1),2) nonzeros(tril(R,-1))]

Correlation = sparse(tril(R,-1))

ADD eg:

>> LName={'Name1','Name2','Name3' 'Name4'};
Dat={rand(12,1),rand(12,1),rand(12,1),rand(12,1)};
R = corrcoef([Dat{:}])
Correlation = [LName(nchoosek(1:size(R,1),2)) num2cell(nonzeros(tril(R,-1)))]
R =
            1      0.62864      0.50105    -0.066267
      0.62864            1      0.20848   -0.0042032
      0.50105      0.20848            1      0.23383
    -0.066267   -0.0042032      0.23383            1
Correlation = 
    'Name1'    'Name2'    [   0.62864]
    'Name1'    'Name3'    [   0.50105]
    'Name1'    'Name4'    [ -0.066267]
    'Name2'    'Name3'    [   0.20848]
    'Name2'    'Name4'    [-0.0042032]
    'Name3'    'Name4'    [   0.23383]
>>

Best Answer

Related Solutions

MATLAB: Trouble calculating column mean from a matrix – using different indices for each row

MATLAB: Correlation pairs

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