F = pf(x,df1,df2) Input x real df1,df2 degrees of freedom (x,df1,df2 can be scalar or matrix with common size) Output F for each element of x, F=Prob((X/df1)/(Y/df2) < x) where X and Y are independent Chisquare random variables with one degree of freedom