# MathQuantileF

For the specified probability, the function calculates the value of inverse Fisher's F-distribution function with the nu1 and nu2 parameters. In case of error it returns NaN.

 double  MathQuantileF(    const double  probability,    // probability value of random variable occurrence    const double  nu1,            // the first parameter of distribution (number of degrees of freedom)    const double  nu2,            // the second parameter of distribution (number of degrees of freedom)    const bool    tail,           // flag of calculation, if false, then calculation is performed for 1.0-probability    const bool    log_mode,       // flag of calculation, if log_mode=true, calculation is performed for Exp(probability)    int&          error_code      // variable to store the error code    );

For the specified probability, the function calculates the value of inverse Fisher's F-distribution function with the nu1 and nu2 parameters. In case of error it returns NaN.

 double  MathQuantileF(    const double  probability,    // probability value of random variable occurrence    const double  nu1,            // the first parameter of distribution (number of degrees of freedom)    const double  nu2,            // the second parameter of distribution (number of degrees of freedom)    int&          error_code      // variable to store the error code    );

For the specified probability[] array of probability values, the function calculates the value of inverse Fisher's F-distribution function with the nu1 and nu2 parameters. In case of error it returns false. Analog of the qf() in R.

 double  MathQuantileF(    const double& probability[],  // array with probability values of random variable    const double  nu1,            // the first parameter of distribution (number of degrees of freedom)    const double  nu2,            // the second parameter of distribution (number of degrees of freedom)    const bool    tail,           // flag of calculation, if false, then calculation is performed for 1.0-probability    const bool    log_mode,       // flag of calculation, if log_mode=true, calculation is performed for Exp(probability)    double&       result[]        // array with values of quantiles    );

For the specified probability[] array of probability values, the function calculates the value of inverse Fisher's F-distribution function with the nu1 and nu2 parameters. In case of error it returns false.

 bool  MathQuantileF(    const double& probability[],  // array with probability values of random variable    const double  nu1,            // the first parameter of distribution (number of degrees of freedom)    const double  nu2,            // the second parameter of distribution (number of degrees of freedom)    double&       result[]        // array with values of quantiles    );

Parameters

probability

[in]  Probability value of random variable.

probability[]

[in]  Array with probability values of random variable.

nu1

[in]  The first parameter of distribution (number of degrees of freedom).

nu2

[in]  The second parameter of distribution (number of degrees of freedom).

tail

[in]  Flag of calculation, if lower_tail=false, then calculation is performed for 1.0-probability.

log_mode

[in]  Flag of calculation, if log_mode=true, calculation is performed for Exp(probability).

error_code

[out]  Variable to get the error code.

result[]

[out]  Array with values of quantiles.