Initializes a new instance of the StatsFunctions class

Returns the value of the beta function at a given value.

Returns the binomial coefficient ("n choose m"), the number of ways of picking m unordered outcomes from n possibilities.

Returns the natural log of the binomial coefficient ("n choose m"), the number of ways of picking m unordered outcomes from n possibilities.

Computes the Pearson correlation matrix for a set of random inputs. The random inputs are taken to be the columns of the input matrix. The symmetric, positive definite matrix whose i,j entry is the Spearman correlation coefficient between the inputs in column i and column j is computed and returned.

Determines whether the specified Object is equal to the current Object.

Returns n!, the number of ways that n objects can be permuted.

Returns the natural log factorial of n, ln( n! ).

Calculates the Fisher transformation of the given value.

Calculates the inverse Fisher transformation of the given value.

Returns the log of the gamma function at a given value.

Serves as a hash function for a particular type.

Gets the Type of the current instance.

Returns the value of the incomplete beta function at a given value.

Returns the complement of the incomplete gamma function, P(a,x), at a given value. The complement of the incomplete gamma function P(a,x) is defined to be 1.0 - P(a,x)

Chooses the specified number of initial centers from the given data matrix, for clustering algorithms such as k-means.

Returns the median of the given data.

Returns a String that represents the current Object.