Central tendency Packages

Computes the median of an array.

Computes the geometric mean of an array.

Computes the truncated mean of an array.

Computes the arithmetic mean.

Provides a method to compute a sample variance incrementally.

Provides a method to compute an arithmetic mean incrementally.

Computes the mid-range of a numeric array.

Computes a trimmed midrange of a numeric array

Computes the median of an array ignoring non-numeric values.

Computes the trimean of a numeric array.

Computes the midhinge of a numeric array.

Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.

Calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result.

Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.

Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result.

Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.

Calculate the arithmetic mean of a double-precision floating-point strided array.

Calculate the arithmetic mean of a double-precision floating-point strided array using an improved Kahan–Babuška algorithm.

Calculate the arithmetic mean of a double-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.

Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm.