The F (or Fisher-Snedecor) inverse distribution function
x = qf(p,df1,df2)
probability
degrees of freedom (p,df1,df2 can be scalar or matrix with common size)
inverse at p of the F cumulative distribution function with degrees of freedom df1, df2
The F (or Fisher-Snedecor) inverse distribution function The F law with degrees of freedom df1 and df2 is the law of (X/df1)/(Y/df2) where X and Y are independent Chi-square random variables with one degree of freedom.