Statistics: unifcdf

### Function Reference: `unifcdf`

statistics: p = unifcdf (x, a, b)
statistics: p = unifcdf (x, a, b, `"upper"`)

Continuous uniform cumulative distribution function (CDF).

For each element of x, compute the cumulative distribution function (CDF) of the continuous uniform distribution with parameters a and b, which define the lower and upper bounds of the interval `[a, b]`. The size of p is the common size of x, a, and b. A scalar input functions as a constant matrix of the same size as the other inputs.

`[…] = unifcdf (x, a, b, "upper")` computes the upper tail probability of the continuous uniform distribution with parameters a, and b, at the values in x.

Further information about the continuous uniform distribution can be found at https://en.wikipedia.org/wiki/Continuous_uniform_distribution

See also: unifinv, unifpdf, unifrnd, unifit, unifstat

Source Code: unifcdf

### Example: 1

     ## Plot various CDFs from the continuous uniform distribution
     x = 0:0.1:10;
     p1 = unifcdf (x, 2, 5);
     p2 = unifcdf (x, 3, 9);
     plot (x, p1, "-b", x, p2, "-g")
     grid on
     xlim ([0, 10])
     ylim ([0, 1])
     legend ({"a = 2, b = 5", "a = 3, b = 9"}, "location", "southeast")
     title ("Continuous uniform CDF")
     xlabel ("values in x")
     ylabel ("probability")