Function Reference: unidcdf
- statistics: p = unidcdf (x, N)
- statistics: p = unidcdf (x, N,
"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
Example: 1
## 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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