JSPM

Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.

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

Create an iterator which iteratively computes a cumulative arithmetic mean.

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, 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.

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

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

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 Welford's algorithm and ignoring NaN values.

Calculate the arithmetic mean of a strided array, ignoring NaN values and using a two-pass error correction algorithm.

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

Calculate the mean and variance 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 single-precision floating-point strided array using a one-pass trial mean algorithm.

Compute the arithmetic mean of squared absolute values for all iterated values.

Create an iterator which iteratively computes a moving arithmetic mean of squared absolute values.

Now, you can calculate the sum, average, mode, median, range, variance, and standard deviation for the given array of numbers.

Transform stream factory to calculate arithmetic means for streamed data arrays (chunks).

Compute the arithmetic mean of absolute values for all iterated values.

Simple Array Math Library

Simple calculation of average values for an array of objects

Create an iterator which iteratively computes a moving arithmetic mean of absolute values.

mpony - find the min, max, avg or sum of numbers in an array

know the percentage of advance of an object

svg arrow

Perform different actions with arrays.