How to calculate and plot this pcolor plot?

Hi, I have a 3D matrix of 1100x800x764 size. This forms a 1100 by 800 grid cell with 764 different samples.

I want to calculate every single grid cell's mean value to create a 2D mean 1100x800 grid cell. The pcolor plot should satisfy this condition -

It means, every pixel's mean value should be greater or equal than the ratio of the standard deviation of that pixel and the root of the sample size (N = 764). Any pixel that does not confirm this condition will automatically be set as NaN. Rest of the pixels should be pcolor mapped :)

Any feedback from you will be much appreciated!!

Answer 1

[KSSV]

A = rand(1100,800,764) ;
mu = mean(A,3) ;
sigma = std(A,[],3) ;
idx = mu >= sigma/sqrt(764) ; 
h = pcolor(idx) ;
h.EdgeColor = 'none' ; 

[Ashfaq Ahmed]

What happens if there are already some NaN values present in the A?

[KSSV]

You may omit nans. Read the documentation.

[Ashfaq Ahmed]

@KSSV, yes it ran properly. Can you please give me an idea on how can I bootstrap every pixel's mean and use the same technique?

[KSSV]

What do you mean by bootstrap?

[Ashfaq Ahmed]

Bootstrap mean of every pixel's mean.

[KSSV]

You already have it in mu right?

[Ashfaq Ahmed]

Yes. But that is a general mean of 764 data points. Not the bootstrap one.