MathQuantileNormal
MathQuantileNormal
For the specified probability, the function calculates the value of inverse normal distribution function with the mu and sigma parameters. In case of error it returns NaN.
double MathQuantileNormal(
const double probability, // probability 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
);For the specified probability, the function calculates the value of inverse normal distribution function with the mu and sigma parameters. In case of error it returns NaN.
double MathQuantileNormal(
const double probability, // probability 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
);For the specified probability[] array of probability values, the function calculates the values of inverse normal distribution function with the mu and sigma parameters. In case of error it returns false. Analog of the qnorm() in R.
bool MathQuantileNormal(
const double& probability[], // array with probability 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 with values of quantiles
);For the specified probability[] array of probability values, the function calculates the values of inverse normal distribution function with the mu and sigma parameters. In case of error it returns false.
bool MathQuantileNormal(
const double& probability[], // array with probability values of random variable
const double mu, // expected value
const double sigma, // root-mean-square deviation
double& result[] // array with values of quantiles
);Parameters
- probability
[in] Probability value of random variable.
- probability[]
[in] Array with probability 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 false, then calculation is performed for 1.0 - probability.
- 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 quantiles.