cumbeta (x,alpha,beta[,lam] [,upper:T or lower:F]), x, alpha, beta, and lam REAL, elements of alpha, beta > 0, lam >= 0 |

cumbeta(Val,a,b) computes the probabilities that a beta random variable with parameters a and b would be <= the elements of the vector, matrix, or array Val. cumbeta(Val,a,b,lam) computes similar probabilities for non-central beta with noncentrality parameter lam. Any of Val, a, b, or lam that are not scalars (single numbers) must be vectors, matrices, or arrays with the same size and shape which will also be the size and shape of the result. cumbeta(Val,a,b [,lam] ,upper:T) and cumbeta(Val,a,b [,lam] ,lower:F) do the same, except P(beta >= Val) is computed. The elements of a, b and lam must be positive REAL numbers. Example: Cmd> cumbeta(.173,1.5,2.5,upper:T) # upper tail prob,a = 1.5,b = 2.5 (1) 0.79252 Cmd> 1 - cumbeta(.173,1.5,2.5) # same (1) 0.79252 See also cumF(), invF(), invbeta().

Gary Oehlert 2003-01-15