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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) |
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 () |