unidcdf
              "upper")Discrete uniform cumulative distribution function (CDF).
 For each element of x, compute the cumulative distribution function
 (CDF) of a discrete uniform distribution with parameter N, which
 corresponds to the maximum observable value.  unidcdf assumes the
 integer values in the range  with equal probability.  The size of
 p is the common size of x 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.
 […] = unidcdf (x, N, "upper") computes the upper
 tail probability of the discrete uniform distribution with maximum observable
 value N, at the values in x.
 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: unidinv, unidpdf, unidrnd, unidfit, unidstat
Source Code: unidcdf
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 ## Plot various CDFs from the discrete uniform distribution
 x = 0:10;
 p1 = unidcdf (x, 5);
 p2 = unidcdf (x, 9);
 plot (x, p1, "*b", x, p2, "*g")
 grid on
 xlim ([0, 10])
 ylim ([0, 1])
 legend ({"N = 5", "N = 9"}, "location", "southeast")
 title ("Discrete uniform CDF")
 xlabel ("values in x")
 ylabel ("probability")
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