Noncentral F Inverse CDF
x = distfun_ncfinv(p,v1,v2,delta) x = distfun_ncfinv(p,v1,v2,delta,lowertail)
a matrix of doubles, the probability. Must be in the range [0,1].
a matrix of doubles, numerator degrees of freedom, v1>0 (can be non integer).
a matrix of doubles, denominator degrees of freedom, v2>0 (can be non integer).
a matrix of doubles, the noncentrality parameter, delta>=0
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. x is real and x>=0.
Computes the Inverse cumulative distribution function of the Noncentral F distribution function.
Any scalar input argument is expanded to a matrix of doubles of the same size as the other input arguments.
Caution This distribution is known to have inferior accuracy in some cases.
http://en.wikipedia.org/wiki/Noncentral_F-distribution