unidpdf
              Discrete uniform probability density function (PDF).
 For each element of x, compute the probability density function (PDF)
 of the discrete uniform distribution with parameter N, which
 corresponds to the maximum observable value.  unidpdf assumes the
 integer values in the range  with equal probability.  The size of
 x is the common size of p and N.  A scalar input functions
 as a constant matrix of the same size as the other inputs.
 The maximum observable values in N must be positive integers, otherwise
 NaN is returned.
 Warning: The underlying implementation uses the double class and will only
 be accurate for N < flintmax ( on
 IEEE 754 compatible systems).
Further information about the discrete uniform distribution can be found at https://en.wikipedia.org/wiki/Discrete_uniform_distribution
See also: unidcdf, unidinv, unidrnd, unidfit, unidstat
Source Code: unidpdf
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 ## Plot various PDFs from the discrete uniform distribution
 x = 0:10;
 y1 = unidpdf (x, 5);
 y2 = unidpdf (x, 9);
 plot (x, y1, "*b", x, y2, "*g")
 grid on
 xlim ([0, 10])
 ylim ([0, 0.25])
 legend ({"N = 5", "N = 9"}, "location", "northeast")
 title ("Descrete uniform PDF")
 xlabel ("values in x")
 ylabel ("density")
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