Uniform CDF
p = distfun_unifcdf ( x ) p = distfun_unifcdf ( x , a , b ) p = distfun_unifcdf ( x , a , b , lowertail )
a 1x1 or nxm matrix of doubles, the outcome
a 1x1 or nxm matrix of doubles, the lower bound (default a=0)
a 1x1 or nxm matrix of doubles, the upper bound (default b=1)
a 1x1 matrix of booleans, the tail (default lowertail=%t). If lowertail is true (the default), then considers P(X<x) otherwise P(X>x).
a nxm matrix of doubles, the probability.
Computes the cumulated probability distribution function of the Uniform distribution function.
Any scalar input argument is expanded to a matrix of doubles of the same size as the other input arguments.
The function definition is:
// Test default parameters c = distfun_unifcdf ( [-1 0 0.5 1 2] ) e = [0. 0. 0.5 1. 1.] // Test expanded arguments c = distfun_unifcdf ( [1 2 3] , [1 1 1] , [4 5 6] ) e = [ 0. 0.25 0.4] // Plot the function a=2; b=5; scf(); x = linspace(1,6,1000); y = distfun_unifcdf(x , a, b); plot(x,y); xtitle("Uniform CDF","x","P(X<x)"); // See upper tail p = distfun_unifcdf ( 1.7, 1., 2. ) q = distfun_unifcdf ( 1.7, 1., 2. , %f ) p+q | ![]() | ![]() |