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Asked: 2026-05-24T23:35:45+00:00

I have a large, square sparse matrix in R (about 30M real numbers), and

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I have a large, square sparse matrix in R (about 30M real numbers), and I’d like to see the distribution of its values.
If I use the hist function, as most values are 0, I get a very tall first bar and then a very long tail very close to 0, something like: I______

So I guess I should print only nonzero values, or rescale the values in order to show the pattern of non zero values in a meaninful way.
Is there a way to tell hist to filter out certain values?
I’d like to include only values in (0,1).

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1 Answer

  1. Editorial Team

    A matrix is just a vector that’s been told about it’s column and row assignments… it’ll turn back into one if you just treat it like one. …..

    hist( myMatrix[myMatrix > 0 & myMatrix < 1] )
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