Function vector_skew (o2scl)

O2scl : Function List

template<class vec_t>
double o2scl::vector_skew(size_t n, const vec_t &data, double mean, double stddev)

Skewness with specified mean and standard deviation.

This function computes

\[ \frac{1}{N} \sum_i \left[ \frac{ \left(x_i - \mu \right)}{ \sigma }\right]^3 \]

where the values of \( \mu \) and \( \sigma \) are given in mean and stddev.

This function produces the same results as gsl_stats_skew_m_sd().

If n is zero, this function will return zero without calling the error handler.

template<class vec_t>
double o2scl::vector_skew(const vec_t &data, double mean, double stddev)

Skewness with specified mean and standard deviation.

This function computes

\[ \frac{1}{N} \sum_i \left[ \frac{ \left(x_i - \mu \right)}{ \sigma }\right]^3 \]

where the values of \( \mu \) and \( \sigma \) are given in mean and stddev.

This function produces the same results as gsl_stats_skew_m_sd().

If n is zero, this function will return zero without calling the error handler.

template<class vec_t>
double o2scl::vector_skew(size_t n, const vec_t &data)

Skewness with computed mean and standard deviation.

This function computes

\[ \frac{1}{N} \sum_i \left[ \frac{ \left(x_i - \mu \right)}{ \sigma }\right]^3 \]

where the values of \( \mu \) and \( \sigma \) are computed using vector_mean() and vector_stddev().

This function produces the same results as gsl_stats_skew().

If n is zero, this function will return zero without calling the error handler.

template<class vec_t>
double o2scl::vector_skew(const vec_t &data)

Skewness with computed mean and standard deviation.

This function computes

\[ \frac{1}{N} \sum_i \left[ \frac{ \left(x_i - \mu \right)}{ \sigma }\right]^3 \]

where the values of \( \mu \) and \( \sigma \) are computed using vector_mean() and vector_stddev().

This function produces the same results as gsl_stats_skew().

If n is zero, this function will return zero without calling the error handler.