Uniform CDF
p = distfun_unifcdf ( x , a , b ) p = distfun_unifcdf ( x , a , b , lowertail )
a matrix of doubles, the outcome
a matrix of doubles, the lower bound
a matrix of doubles, the upper bound (with a<=b)
a 1-by-1 matrix of booleans, the tail (default lowertail=%t). If lowertail is true (the default), then considers P(X<=x) otherwise P(X>x).
a 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 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","$P(X\leq x)$"); // See upper tail p = distfun_unifcdf ( 1.7, 1., 2. ) q = distfun_unifcdf ( 1.7, 1., 2. , %f ) p+q | ![]() | ![]() |