F probability density function
Y = fpdf(X,V1,V2)
Y = fpdf(X,V1,V2) computes the
F pdf at each of the values in X using the
corresponding numerator degrees of freedom V1 and denominator degrees of
freedom V2. X, V1, and
V2 can be vectors, matrices, or multidimensional arrays that all have the
same size. A scalar input is expanded to a constant array with the same dimensions as the
other inputs. V1 and V2 parameters must contain real
positive values, and the values in X must lie on the interval
[0 Inf].
The probability density function for the F distribution is
y = fpdf(1:6,2,2) y = 0.2500 0.1111 0.0625 0.0400 0.0278 0.0204 z = fpdf(3,5:10,5:10) z = 0.0689 0.0659 0.0620 0.0577 0.0532 0.0487