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how do i get the higher values into the bins
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edges=0:10:103
[~, discrete_x] = histc(x, edges);
discrete_x(discrete_x == length(edges)) = length(edges)-1;
discrete_x(discrete_x == 0) = NaN;
in this code the values above 100 is taken as NaN but i want them to go into the 11th bin. how can i do that
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GT
2018-11-20
Maybe try using histcounts
Here is a small example:
X = randn(1000,1);
edges = [-5 -4 -2 -1 -0.5 0 0.5 1 2 4 5];
N = histcounts(X,edges)
Where in your example you can specify the edges that you would like.
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GT
2018-11-20
Which version of MATLAB do you have?
histcounts came out in R2014b
X= 1:10
X(4) = nan
Y = categorical(X,[1:10 nan])
[a,b] = histcounts(Y)
I believe gives the code that you are looking for, or do you absolutely need to use the histc?
Bruno Luong
2018-11-20
[~, discrete_x] = histc(x, [edges Inf]);
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GT
2018-11-20
Yes, indeed this is a more elegant solution if there are no NaNs. I think I misunderstood the question, @Bruno thanks for stepping in.
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