stdlib-js/stats-base-ndarray-dmean

Compute the arithmetic mean of a one-dimensional double-precision floating-point ndarray.

Python

Apache License 2.0

This is a JavaScript library for computing the arithmetic mean of a one-dimensional array of double-precision floating-point numbers. It's part of stdlib, a comprehensive standard library for scientific and numerical computing in JavaScript, and is designed for developers who need precise statistical calculations in their applications.

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Support the dependencies of stdlib-js/stats-base-ndarray-dmean

stdlib-js/ndarray-base-data-buffer

Return the underlying data buffer of a provided ndarray.

stdlib-js/ndarray-base-numel-dimension

Return the size (i.e., number of elements) of a specified dimension for a provided ndarray.

stdlib-js/ndarray-base-offset

Return the index offset specifying the underlying buffer index of the first iterated ndarray element.

stdlib-js/ndarray-base-stride

Return the stride along a specified dimension for a provided ndarray.

stdlib-js/stats-strided-dmean

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

stdlib-js/types

stdlib TypeScript type declarations.

stdlib-js/array-float64

Float64Array.

stdlib-js/math-base-assert-is-nan

Test if a double-precision floating-point numeric value is NaN.

stdlib-js/math-base-assert-is-positive-zero

Test if a double-precision floating-point numeric value is positive zero.

stdlib-js/math-base-special-pow

Exponential function.

stdlib-js/ndarray-base-ctor

Base multidimensional array.

stdlib-js/ndarray-to-array

Convert an ndarray to a generic array.

stdlib-js/random-array-discrete-uniform

Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.

stdlib-js/random-array-uniform

Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.

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