Finding the averages for a unique value.
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I have a data set as shown, I need to find the average values of 1 in column A w.r.t to column B, C, etc.
For example average of 1 = average of 0.7, 0.9, 1.1, 1.3, similarly
2 = average of 1.5, 1.7, 1.9
similarly for 3 , 4, ..... and on and similarly for the columns C, D, E, F.
I have written a code as detailed below but I am getting index exceeds matrix error.
clc
clear all
load input.txt
d=input(:,1);
Tm=input(:,2);
Atmp=input(:,3);
Mxtmp=input(:,4);
Mntmp=input(:,5);
Rh=input(:,6);
[u i j] = unique(d);
D = length(d) % No. of data vectors
U = length(u) % No. of unique dates
I = length(i)
J = length(j)
M = zeros(I,5); % Initialize daily means
for k=1:J
n=find(u==d(k));
M(j,:)= mean(input(u(d),2:6))
end

Can any one help.
Thanks in advance.
답변 (3개)
X = input;
A = X(:,1);
MC = arrayfun(@(i) mean(X(A == i, 2:end)), unique(A), 'UniformOutput', false);
M = reshape(cell2mat(MC), size(X,2)-1, [])'
X = [1, 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5;...
0.7, 0.9, 1.1, 1.3, 1.5, 1.7, 1.9, 2.1, 2.3, 2.5, 2.7, 2.9, 3.1, 3.3, 3.5;...
0.78,0.16,0.86,0.68,0.72,0.76,0.80,0.84,0.88,0.92,0.96,1.00,1.04,1.08,0.12].'
%
for k = size(X,2):-1:1
out(:,k) = accumarray(X(:,1),X(:,k),[],@mean);
end
Or all on one line using cellfun:
mat = cell2mat(cellfun(@(V)accumarray(X(:,1),V,[],@mean),num2cell(X,1),'UniformOutput',false))
Both create the same numeric output:
mat =
1 1.00000 0.62000
2 1.70000 0.76000
3 2.30000 0.88000
4 2.80000 0.98000
5 3.30000 0.74667
댓글 수: 4
Mohana
2015년 11월 24일
Stephen23
2015년 11월 24일
So try it! As long as your data file has the same format as your example data (first column natural number group index), then this method will work.
You did not copy the final two closing parentheses '))' at the end of the functions. I just copied the complete line and it worked without error.
I wrote in my answer "...on one line...", so how is this not clear that this code should be on one single line?
Andrei Bobrov
2015년 11월 24일
편집: Andrei Bobrov
2015년 11월 24일
a - your array
[ii,jj] = ndgrid(a(:,1),1:5);
out = [unique(a(:,1)), accumarray([ii(:),jj(:)],reshape(a(:,2:end),[],1),[],@mean)];
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