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Statistics ›

Moments

Mean

Calculates the arithmetic mean of a given population
template<class T> double mean (int n, T *data)

Avedev

Calculates the absolute deviation of a given set of data.
template<class T> double avedev (int n, T *data)

Combin

Calculates the number of combinations for a given set of data.
double combin (int n, int k)

Covariance

Calculates the covariance of a given set of data
template<class T> double covariance (int n, T *data, T *data1)
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Squared Deviations

Calculates the sum of squared deviations of a given set of data.
template<class T> double devsq (int n, T *data)

Fisher

Calculates Fisher transformation.
double fisher (double x)

Fisher Inverse

Calculates the inverse of the Fisher transformation.
double fisher_inv (double x)[inline]

Frequency

Calculates how often values occur within a given set of ranges.
template<class T> std::vector<int> frequency (int n, T *data, int m, T *bin)

Geometric

Calculates the geometric mean of a given population.
template<class T> double geometric (int n, T *data)

Harmonic

Calculates the harmonic mean of a given population.
template<class T> double harmonic (int n, T *data)

Kurtosis

Calculates the kurtosis of a given set of data.
template<class T> double kurtosis (int n, T *data)

Mode

Finds the most common value in an array.
template<class T> T mode (int n, T *data)

Pearson

Calculates the Pearson product for a given set of data.
template<class T> double pearson (int N, T *data, T *data1)

Permut

Calculates the number of permutations for a given set of data.
double permut (int n, int k)

Prob

Calculates the probability that values in a range are between two limits.
template<class T> double prob (int n, T *data, double *prob, int x, int y=INT_MAX)

Rank

Calculates the rank of a number in a list of numbers.
template<class T> int rank (int x, int n, T *data, bool ascending=true)

Skewness

Calculates the skewness of a given set of data.
template<class T> double skewness (int n, T *data)

Smallest

Finds the smallest value of order k in the given array.
template<class T> T smallest (int n, T *data, int k)

Trim Mean

Calculates the mean of the interior of data set.
template<class T> double trimmean (int n, T *data, double p)

Variance

Calculates the variance of a given set of data.
template<class T> double variance (int n, T *data, bool total = false)

Correlation

Calculates the correlation of a given set of data.
template<class T>double correlation (int n ,T *data ,T *data1)[inline]

Standard Deviation

Calculates the standard deviation of a given population.
template<class T> double stdev (int n, T *data, bool total = false)

Largest

Finds the largest value of order k in the given array.
template<class T>T largest (int n, T *data, int k)[inline]

Median

Returns the median of the given population.
template<class T> double median (int n, T *data)[inline]

Statistics

Calculates the statistics for a set of data that may change size frequently.
template<...> class Statistics ()