# MathCumulativeDistributionChiSquare

Calculates the probability distribution function of chi-squared distribution with the nu parameter for a random variable x. In case of error it returns NaN.

 double  MathCumulativeDistributionChiSquare(    const double  x,             // value of random variable    const double  nu,            // parameter of distribution (number of degrees of freedom)    const bool    tail,          // flag of calculation, if true, then the probability of random variable not exceeding x is calculated    const bool    log_mode,      // calculate the logarithm of the value, if log_mode=true, then the natural logarithm of the probability is returned    int&          error_code     // variable to store the error code    );

Calculates the probability distribution function of chi-squared distribution with the nu parameter for a random variable x. In case of error it returns NaN

 double  MathCumulativeDistributionChiSquare(    const double  x,             // value of random variable    const double  nu,            // parameter of distribution (number of degrees of freedom)    int&          error_code     // variable to store the error code    );

Calculates the probability distribution function of chi-squared distribution with the nu parameter for an array of random variables x[]. In case of error it returns false. Analog of the pchisq() in R.

 bool  MathCumulativeDistributionChiSquare(    const double& x[],            // array with the values of random variable    const double  nu,             // parameter of distribution (number of degrees of freedom)    const bool    tail,           // flag of calculation, if true, then the probability of random variable not exceeding x is calculated    const bool    log_mode,       // flag to calculate the logarithm of the value, if log_mode=true, then the natural logarithm of the probability is calculated    double&       result[]        // array for values of the probability function    );

Calculates the probability distribution function of chi-squared distribution with the nu parameter for an array of random variables x[]. In case of error it returns false.

 bool  MathCumulativeDistributionChiSquare(    const double& x[],            // array with the values of random variable    const double  nu,             // parameter of distribution (number of degrees of freedom)    double&       result[]        // array for values of the probability function    );

Parameters

x

[in]  Value of random variable.

x[]

[in]  Array with the values of random variable.

nu

[in]  Parameter of distribution (number of degrees of freedom).

tail

[in]  Flag of calculation. If true, then the probability of random variable not exceeding x is calculated.

log_mode

[in]  Flag to calculate the logarithm of the value. If log_mode=true, then the natural logarithm of the probability is calculated.

error_code

[out]  Variable to store the error code.

result[]

[out]  Array for values of the probability function.

Updated: 2016.12.21