MathCumulativeDistributionNormal
MathCumulativeDistributionNormal
Calculates the value of the normal distribution function with the mu and sigma parameters for a random variable x. In case of error it returns NaN.
double MathCumulativeDistributionNormal(
const double x, // value of random variable
const double mu, // expected value
const double sigma, // root-mean-square deviation
const bool tail, // flag for calculation of tail
const bool log_mode, // calculate the logarithm of the value
int& error_code // variable to store the error code
);Calculates the value of the normal distribution function with the mu and sigma parameters for a random variable x. In case of error it returns NaN.
double MathCumulativeDistributionNormal(
const double x, // value of random variable
const double mu, // expected value
const double sigma, // root-mean-square deviation
int& error_code // variable to store the error code
);Calculates the value of the normal distribution function with the mu and sigma parameters for an array of random variables x[]. In case of error it returns false. Analog of the dnorm() in R.
bool MathCumulativeDistributionNormal(
const double& x[], // array with the values of random variable
const double mu, // expected value
const double sigma, // root-mean-square deviation
const bool tail, // flag for calculation of tail
const bool log_mode, // calculate the logarithm of the value
double& result[] // array for values of the probability function
);Calculates the value of the normal distribution function with the mu and sigma parameters for an array of random variables x[]. In case of error it returns false.
bool MathCumulativeDistributionNormal(
const double& x[], // array with the values of random variable
const double mu, // expected value
const double sigma, // root-mean-square deviation
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.
- mu
[in] mean parameter of the distribution (expected value).
- sigma
[in] sigma parameter of the distribution (root-mean-square deviation).
- tail
[in] Flag of calculation. If tail=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 density is returned.
- error_code
[out] Variable to get the error code.
- result[]
[out] Array to obtain the values of the probability function.