finding mean for an array

Hi all, Just wanted to find mean for an array thnx

Answer 1

[Walter Roberson]

For numeric arrays:

mean(NumericArrayName(:))

I see, though, that you tagged this with "cell arrays". If you are wanting to find the mean for each cell separately, then:

cellfun(@(C) mean(C(:)), CellArrayName)

If you are wanting to find the mean of all of the cells taken together as if they were one long list of numbers:

t = cellfun(@(C) C(:), CellArrayName);
mean(vertcat(t{:}))

I am presuming in the above that when you say that you want to find the mean for an array, that you want the mean of all of the numbers in the array together. If you want the mean of the rows of an arithmetic array, then mean(NumericArrayName,2) and if you want the mean of the columns then mean(NumericArrayName)

But if what you have is a cell array containing a series of numeric arrays all the same size, and you want a position-by-position mean over all of the cells, then:

nd = ndims(CellArrayName{1});
mean(cat(nd, CellArrayName{:}), nd)

[santosh]

thnx alot for ur answer its very much helpful but one question i m doing a project which includes finding the mean of the different groups and plotting the mean of each group seperately

a=[164 165 166 167 175 176 177 189 190 195 196]';

b=diff(a); %find differences

idx=find(b>1); %find their indexes

idx=[idx;numel(a)]; %add the last value as index

cel=cell(1,numel(idx)); %make a cell to hold the groups

sv=1; %start value

for f=1:numel(idx)

cel{f}=a(sv:idx(f)); %take each part of a into a group

sv=idx(f)+1; %make the next start value

end

cellfun(@mean,cel)

this is helping me in knowing me the mean of each group and if possible can u help in plotting those points

[Walter Roberson]

Your code to find the mean of each group appears to be okay.

What do you want to plot against?

plot(cellfun(@mean, cel))

perhaps?

By the way:

a=[164 165 166 167 175 176 177 189 190 195 196]';

b=diff(a); %find differences

idx = find([b 2]>1); %find there indexes

cel = mat2cell(a, 1, [idx(1) diff(idx)]); %break up the matrix